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O'ReillyExpiredEnded Oct 20
It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity.Labels: O'reilly Media,coding,ebook,code,eric Freeman,o'reilly,book,head First,
Used 303
O'ReillyExpiredEnded Oct 20
The new edition of this brain-friendly guide takes you through a comprehensive journey into modern JavaScript, covering everything from core language fundamentals to today's cutting-edge features. You'll dive into the nuances of JavaScript types and the unparalleled flexibility of its functions. You'll also learn how to expertly navigate classes and objects, and finally understand closures. But that's just the beginning. You'll also get hands-on with the browser's document object model (DOM), engaging with JavaScript in exciting ways. You won't just be reading—you'll be playing games, solving puzzles, pondering mysteries, and interacting with JavaScript as never before. And you'll write real code, lots of it, so you can start building your own applications.Labels: Elisabeth Robson,ebook,eric Freeman,book,javascript,head First,
Used 265
O'ReillyExpiredEnded Oct 20
Head First HTML5 Programming is your ultimate tour guide to creating web applications with HTML5 and JavaScript, and we give you everything you need to know to build them, including: how to add interactivity to your pages, how to communicate with the world of Web services, and how to use the great new APIs being developed for HTML5.Labels: O'reilly Media,elisabeth Robson,ebook,html5,eric Freeman,o'reilly,book,html,programming,head First,
Used 75
O'ReillyExpiredEnded Oct 20
AI continues to be a key force driving innovation in the financial ecosystem—automating processes, personalizing customer experiences, mitigating risk, fighting fraud, and predicting financial markets like never before. Join us and leading industry experts to learn more about next-generation AI tools and techniques at the forefront of transformation in financial services.Labels: Courses,generative Ai,o'reilly,finance,video,
Used 80
O'ReillyExpiredEnded Oct 20
Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value.Labels: Data Matching,ebook,data Science,data,o'reilly,book,entity Resolution,data Analyst,
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O'ReillyExpiredEnded Oct 20
Join us and leading industry experts to learn more about next-generation AI tools and techniques at the forefront of transformation in financial services.Labels: Streaming,ai/ml,generative Ai,finance,o'reilly,ai,finops,
Used 251
O'ReillyExpiredEnded Oct 20
Productivity tools are remaking software development, but their value doesn’t come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivity—and the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Ai/ml,software Development,git,generative Ai,chatgpt,o'reilly,report,
Used 289
O'ReillyExpiredEnded Oct 20
Korn Ferry forecasts a shortage of 85 million skilled workers globally by 2030, leading to as much as $8.42 trillion in unrealized economic potential. And it’s being exacerbated by the high cost of college—US enrollment has dropped by 1.3 million students over the last two years. How can your organization retain top talent and stay ahead of fast-moving technical transformations when facing such a skills shortage?The answer is in this new O’Reilly report. And you can get it free today.Labels: Software Development,education,o'reilly,report,software Engineering,
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O'ReillyExpiredEnded Oct 20
Developers, artists, and designers looking to enter the field of augmented and virtual reality today have few places to turn for expert guidance. Which is why this book was created—to help you learn how to build practical applications and experiences grounded in theory and backed by industry use cases.Chapter 5, “How the Computer Vision That Makes Augmented Reality Possible Works,” is particularly engaging and useful if you’re a developer looking to get into spatial computing, and you want to know where the industry is heading.And you can download it right now for free.Labels: Chapter,virtual Reality,ux,o'reilly,spatial Computing,augmented Reality,user Experience,hci,3d,ar,cv,computer Vision,vr,
Used 365
O'ReillyExpiredEnded Oct 20
Using concrete examples and a proven architectural framework, this book shows you how to combine AI with deep learning capabilities and industrial control technologies to make robust autonomous AI. This is just one small example of the wealth of content available on the O’Reilly learning platform.And chapter 4 is yours, free, as our gift.Labels: Chapter,security,industrial,ai/ml,o'reilly,ai,ics,
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O'ReillyExpiredEnded Oct 20
Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else entirely. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.In chapter 5, “Managing Apache Kafka Programmatically,” engineers from Confluent and LinkedIn who are responsible for developing Kafka explain the functionality of the AdminClient and how to use it in your applications to manage topics, consumer groups, and entity configuration.Download it right now for free.Labels: Data Warehouse,chapter,streaming,apache,data Science,data,o'reilly,kafka,data Architecture,data Engineering,
Used 496
O'ReillyExpiredEnded Oct 20
Productivity tools are remaking software development, but their value doesn’t come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivity—and the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Whitepaper,software Development,o'reilly,software Engineering,web Development,
Used 534
O'ReillyExpiredEnded Oct 20
Productivity tools are remaking software development, but their value doesn’t come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivity—and the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Whitepaper,software Development,o'reilly,software Engineering,web Development,
Used 572
O'ReillyExpiredEnded Oct 20
Productivity tools are remaking software development, but their value doesn’t come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivity—and the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Whitepaper,software Development,o'reilly,software Engineering,web Development,
Used 306
O'ReillyExpiredEnded Oct 20
Productivity tools are remaking software development, but their value doesn’t come for free. We ran a survey to find out how developers are actually using these tools today and to learn where the pain points lie. In this whitepaper, Mike Loukides dives into the data to explore how GitHub Copilot, ChatGPT, self-service pipelines, and more are improving productivity—and the challenges that still need to be overcome for organizations to take full advantage.And you can read it for free.Labels: Whitepaper,software Development,o'reilly,software Engineering,web Development,
Used 487
O'ReillyExpiredEnded Oct 20
Get the edge you need to successfully study for and pass the Certified Kubernetes Administrator (CKA) exam in this all-new video course. This 3rd edition acts as a complete study resource to help you build skills as you work your way through the course. Explore each exam objective on the CKA exam and learn how to build, run, and manage Kubernetes clusters. Expert trainer and author Sander van Vugt gives you hands-on labs to work with Kubernetes, so you have the opportunity to test your skills. The course then ends with a sample exam, allowing you to practice before taking the real thing.Labels: Kubernetes,courses,o'reilly,k8s,cka,video,certification,
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O'ReillyExpiredEnded Oct 20
Written by Elecia White, an expert who has created systems ranging from DNA scanners to children's toys, Making Embedded Systems, 2nd Edition from O'Reilly is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors.Labels: Book,elecia White,embedded,programming,iot,
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O'ReillyExpiredEnded Oct 20
Join expert David Griffiths to discover the transformative potential of ChatGPT to streamline your day-to-day work. You’ll learn how to harness this AI tool for idea generation, language translation, task management, routine establishment, and the rapid creation of reports and presentations. Whether you're juggling work projects, looking to expand your knowledge, or boost your personal productivity, you’ll find practical insights to help you get the most out of ChatGPT.What you’ll learn and how to apply itBreak down and prioritize complex tasks into actionable stepsUse ChatGPT to learn new topics rapidlyGenerate routines or plans such as workout regimes or study schedulesUse ChatGPT to create, organize, and refine content for speeches, presentations, or written materialThis course is for you becauseYou’re a professional looking to streamline work processes, manage tasks effectively, and make informed decisions.You’re a project manager looking for innovative ways to break down tasks, prioritize activities, and keep your project's stakeholders updated with concise information.You conduct, manage, or attend meetings regularly and want a quick way to summarize minutes and actions.You’re a teacher or trainer who’s interested in using AI tools for content creation, explaining complex subjects simply, and crafting quizzes.You’re a business owner aiming to generate fresh ideas.You want assistance in content generation, editing, and creative thinking.You’re a student who wants to use tools to enhance your study techniques, simplify lengthy academic material, and get support with research.PrerequisitesCreate a ChatGPT account (necessary for doing exercises)Labels: Data,gpt,david Griffiths,video,
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Gain an understanding of generative AI, its applications, and its potential impact on your organizationUnderstand what prompt engineering is and why you should master itLearn how generative AI can create content on the fly, improve personalization, and automate tedious tasksExplore industry trends, interesting AI tools, and the future powered by generative AIJoin expert Altaf Rehmani to learn the fundamentals of generative AI and its real-world business use cases. You'll understand the importance of prompt engineering, discover how generative models work, and get a rundown of the tools, companies, and open source projects creating buzz in this space. You’ll gain an understanding of GenAI’s risks and limitations—along with strategies for mitigating them—and you’ll come away with tips for successfully integrating the technology into your business processes.What you’ll learn and how you can apply itLearn how generative models work, and their applications and potentialGet started on the path to mastering prompt engineeringSeparate the hype surrounding generative AI from actionable next stepsThis course is for you because...You’re a business or technology professional who’s curious to learn what this transformative technology portends for you and your business.PrerequisitesLook over exercise template for high-level generative AI plan (to come)Attend: Artificial intelligence: An overview of AI and machine learning (live course with Alex Castrounis)Course Follow-Up:Read: AI for People and Business by Alex Castrounis (book)Labels: Data,altaf Rehmani,video,ai Principles,
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O'ReillyExpiredEnded Oct 20
You know you don't want to reinvent the wheel, so you look to Design Patterns: the lessons learned by those who've faced the same software design problems. With Design Patterns, you get to take advantage of the best practices and experience of others so you can spend your time on something more challenging. Something more fun. This book shows you the patterns that matter, when to use them and why, how to apply them to your own designs, and the object-oriented design principles on which they're based. Join hundreds of thousands of developers who've improved their object-oriented design skills through Head First Design Patterns.Labels: Java Se 8,ebook,eric Freeman,software Design,design Patterns,book,head First,
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Download this free ebook now to see how data scientists, machine learning engineers, and deep learning engineers throughout the world answered detailed questions about their organization’s level of ML adoption. About half of the respondents work for enterprises in the early stages of exploring ML, while the rest have moderate or extensive experience deploying ML models to production. So you get a deep understanding of the methodologies and metrics used throughout the process.Labels: Ai/ml,generative Ai,o'reilly,ai,report,machine Learning,
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O'ReillyExpiredEnded Oct 20
WS security is a shared responsibility. As you deploy cloud resources in AWS and apply configuration, it’s critical that you understand your responsibilities and the security settings required to maintain a secure environment. But where do you start?AWS Cookbook has step-by-step recipes (and code) for addressing common AWS challenges. Chapter 1 covers best practices and use cases focused on security—everything from AWS Identity and Access Management (IAM) policies or enforcing IAM user passwords to blocking public access for an S3 bucket.And it’s free—our gift to you.Labels: Cloud,chapter,cookbook,o'reilly,cloud Computing,aws,
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O'ReillyExpiredEnded Oct 20
Linux Fundamentals LiveLessons has more than 10 hours of comprehensive video training for you to find everything you need to build a strong understanding of working with Linux. This comprehensive video course includes coverage of Linux basics, concepts, practices, and theories, so you can get the foundational knowledge of Linux you need to start your Linux career.Labels: System Administration,courses,o'reilly,linux,
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Written by Elecia White, an expert who has created systems ranging from DNA scanners to children's toys, Making Embedded Systems, 2nd Edition is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.Labels: Sensors,data,o'reilly,book,networking,embedded,elecia White,iot,
Used 280
O'ReillyExpiredEnded Oct 20
Pandas creator Wes McKinney points you to the best resources to show why Python is an optimal choice for almost any data science project.Labels: Python,data Science,data,o'reilly,engineering,data Engineering,
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O'ReillyExpiredEnded Oct 20
Applying knowledge in the right context is the most powerful lever businesses can use to become agile, creative, and resilient. Knowledge graphs offer unparalleled automation and visibility into processes, products, and customers. They help you anticipate downstream effects, understand complex data relationships, and respond to dynamic markets. This short report will show you how.And did we mention it’s free?Labels: Ai/ml,data Science,data,o'reilly,data Architecture,knowledge Graph,graph,
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O'ReillyExpiredEnded Oct 20
By some estimates, data engineering comprises 80% to 90% of the work organizations do with data. But the role of data engineer, and even the term itself, is pretty new and evolving rapidly. If you are (or want to be) a data engineer—or you’re responsible for building or managing data teams—this report will clearly explain the role and the skills and best practices you need to be a successful data engineer.And the best part? It’s free, courtesy of O’Reilly.Labels: Data Management,data Science,data,o'reilly,report,data Architecture,data Engineering,
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These picks from Hamel Husain will guide you through building robust AI applications and machine learning powered systems from the ground up.
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O'ReillyExpiredEnded Oct 20
O'Reilly learning provides individuals, teams, and businesses with expert-created and curated information covering all the areas that will shape our future—including artificial intelligence, Swift, Ruby, Python, C++, CSS, HTML, Java, JavaScript, PHP, operations, data, UX design, finance, leadership, and more.
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O'Reilly Radar article --Last month, The New York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute.
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O'ReillyExpiredEnded Oct 20
Fundamentals of DevOps and Software Delivery is a guide to DevOps and software delivery: that is, a guide to the numerous tools and techniques that are required to take that application code and run it and maintain it in production, where it can generate value for your users and your company on an ongoing basis. This includes going through all the modern practices for deploying applications and microservices to the cloud, managing your infrastructure as code, automating your software delivery lifecycle in a CI/CD pipeline, configuring networking, setting up data stores, and hooking up monitoring.
Used 450
O'ReillyExpiredEnded Oct 20
This book is the Hello, World tutorial for building products, technologies, and teams in a startup environment. It's based on the experiences of the author, Yevgeniy (Jim) Brikman, as well as interviews with programmers from some of the most successful startups of the last decade, including Google, Facebook, LinkedIn, Twitter, GitHub, Stripe, Instagram, AdMob, Pinterest, and many others.
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Gruntwork cofounder Yevgeniy (Jim) Brikman takes you through code examples that demonstrate Terraform's simple, declarative programming language for deploying and managing infrastructure with a few commands. Veteran sysadmins, DevOps engineers, and novice developers will quickly go from Terraform basics to running a full stack that can support a massive amount of traffic and a large team of developers.
Used 526
O'ReillyExpiredEnded Oct 20
Acing the Certified Kubernetes Administrator Exam is your fast-track to becoming a Certified Kubernetes Administrator! Your expert exam tutor is Chad Crowell, whose courses have helped thousands of developers to understand Kubernetes and earn the coveted CKA certification. If you’re familiar with Kubernetes, this book will ensure you’re ready to pass in just one month of study. If you’re brand new, this is the perfect primer to get started on your Kubernetes journey.
Used 545
O'ReillyExpiredEnded Oct 20
Explore the dynamic intersection of cyber threat intelligence (CTI) and cloud computing in this vital course by Assaf Morag. Tailored for cybersecurity professionals and threat analysts, it delves into the nuances of securing cloud-native applications. Gain actionable insights into emerging threats, vulnerabilities, and misconfigurations, and master the art of crafting effective threat intelligence strategies for the cloud. This course equips you to navigate and proactively address security challenges specific to the cloud environment, ensuring you stay ahead in the ever-evolving landscape of cyber threats.
Used 598
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AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through this book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today.
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O'ReillyExpiredEnded Oct 20
Deep Learning at Scale (O'Reilly) by Suneeta Mall illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently.
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Diving into the intricacies of generative AI requires mastery over prompt engineering—a skill pivotal for harnessing the full potential of AI models. This free chapter by James Phoenix and Mike Taylor lays the foundation for creating effective prompts that lead to reliable and useful AI outputs. Understand the key principles like providing clear directions, formatting outputs, and breaking down complex tasks into manageable prompts. Discover techniques for generating creative product names and images and learn how to apply role-playing scenarios to enhance AI interactions.
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Software engineering teams vary in effectiveness; some operate like well-oiled machines, while others struggle with every step. In this free chapter by Addy Osmani, you'll explore the dynamics that distinguish successful teams from the rest. Learn about the importance of clear plans, open communication, trust, and a shared vision. Discover actionable insights on building a strong team foundation, fostering a supportive environment, and sustaining a growth culture to improve teamwork and project outcomes.
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O'ReillyExpiredEnded Oct 20
Creating an effective security program is a complex, yet crucial, endeavor for any organization. In this free chapter by Lee Brotherston, Amanda Berlin, and William F. Reyor, you'll learn the foundational aspects of building a security program. This guide outlines the necessary initial steps and the structural skeleton required to develop a manageable and robust security strategy. Learn how to navigate the challenges of establishing a security program that not only addresses today’s needs but is also scalable for future demands.
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O'ReillyExpiredEnded Oct 20
Managing priorities and conserving energy are critical skills for any executive, but finding the right balance can be challenging. In this free chapter, author Will Larson shares advanced strategies for optimizing your workload and energy distribution. Discover how the transition from the traditional company, team, self framework to an eventual quid pro quo model can revolutionize your approach to prioritization. This chapter offers insightful distinctions and flexible strategies to help you maintain effectiveness without sacrificing integrity or personal well-being.
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Architectural thinking is a unique lens through which software architects view their projects, distinguishing their perspective from that of developers. In this free chapter by Mark Richards and Neal Ford, explore this profound concept and enhance your ability to see solutions and possibilities that transcend ordinary approaches.
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Expert Conner Schiissler teaches you the essentials you need to know, from the basics of GenAI all the way to hosting the application in Azure. You will also look at building the infrastructure necessary to host applications built on great frameworks like LangChain! Follow along in this course to gain the skills required to start harnessing the power of Generative AI, and walk away with the capability to build your very own GenAI application in the Azure cloud.
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A collection of useful books and other resources that Ryan Day used when writing Hands-On APIs for AI and Data Science.
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Over the past year, LLMs have become “good enough” for real-world applications.
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Over the past year, LLMs have become “good enough” for real-world applications.
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O'ReillyExpiredEnded Oct 20
The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI
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Join Lena Reinhard and Kelly Vaughn as they discuss the commonly felt but seldom discussed challenges of leading high-performing teams amid rising levels of stress and burnout. While many leaders are perceptive and empathetic, they may not be aware of the surprising and subtle ways that stress and burnout manifest at work, what effects they can have on productivity and morale if left unchecked, and how to help their teams, or themselves, manage these struggles and build resilience. In this recorded live event, you’ll learn how to identify unhealthy levels of stress in yourself and others, determine when stress has reached burnout level, and approach conversations about stress with your team. You’ll come away with short-term and long-term strategies to help manage stress at work and practical steps you can take to create a more resilient, healthy, and productive team.What you’ll learn and how you can apply itHow to recognize signs of unhealthy stress and when it becomes burnoutTips for initiating and navigating conversations about mental health and work-life balanceEffective short-term and long-term strategies for managing stress and recovering from burnoutThis live course is for you because...You or your team is experiencing high levels of stress and burnout and you want to learn best practices for mitigating them.You want to become better at recognizing signs of stress and burnout so you can address them before they get out of control.You want the chance to ask Lena Reinhard and Kelly Vaughn your questions around leadership, burnout, and prioritizing mental health.Recommended follow-up:Read The Burnout Fix: Overcome Overwhelm, Beat Busy, and Sustain Success in the New World of Work (book)Explore Engineering Leadership Essentials (expert playlist)Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.Labels: Kelly Vaughn,lena Reinhard,business,video,leadership And Management,
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Empower yourself with the knowledge and skills to conquer the world of real-time data using Apache Kafka, the industry's leading streaming platform.This course is more than just technical training, it's your starting line to learning the potential of streaming data and its use cases.You’ll understand how to use Kafka to publish and subscribe to data streams, learn how to deploy an instance locally or in the cloud as well as understanding the development environments and resources available.Importantly this course will help you gain a strategic advantage by staying ahead of the curve in today's data-driven world by leveraging real-time insights to inform your business decisions.Discover the in-demand Kafka skills highly sought after by companies across industries by joining this O’Reilly on demand course.What you’ll learn and how to apply itLearn about Kafka key concepts and use casesIdentify the importance of event streaming and its design principlesLearn about what producers and consumers are in KafkaDeploy a Kafka Instance, create events, write messages and moreIdentify best practices for architecture, availability, and replicationConfidently navigate the Kafka ecosystem and its core conceptsBuild and manage robust real-time data pipelines using KafkaIntegrate Kafka with your existing applications and data infrastructureDevelop real-time streaming applications for various use casesBecome proficient in working with Kafka tools and APIsThis course is for you becauseYou are one of the following:Data Engineers, Data Analysts with some experience working with data.IT Professionals that need an understanding of Kafka and its architecture.Software professionals who need an understanding of Kafka to apply in deployments.PrerequisitesBasic Knowledge of Github and access to the internetBasic Knowledge of LinuxWatch video: Introduction to Apache KafkaLabels: Data,kafka,video,joseph Holbrook,
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This course introduces students to the wide world of Linux. It is intended for people who know computers but have little to no experience with Linux. This course doesn’t make assumptions that the student’s Linux experience will be on servers, on the desktop, or on embedded systems, and provides information applicable to all 3 scenarios.Often, when people come from, primarily, a Windows experience, they expect things to work automatically, for example on Windows people just add a disk and it shows up without any other intervention. However on Linux, especially on servers and embedded systems, things need to be configured by the operator - so the operator can have more control over what gets set up.This course introduces not only the basic operation of a Linux system, but also some of the basic settings for accessing new drives, setting up startup applications, and installing new software on a Linux system.What you’ll learn and how you can apply itA clear understanding of Linux distributionsHow the Graphical UI and the command-line work together and that one is not preferred over the otherUnderstand how drives/filesystems are accessed on Linux systemsUnderstand the layout of the filesystem mounted on ‘/’Introduction to the command-line environmentHow to install and update the software on LinuxSurvey some of the more commonly used advanced Linux security optionsThis course is for you because…You’re an embedded software developer who has experience with other embedded operating systems, but little experience with Linux and need to develop a Linux-based embedded system.You’re a software developer who wants to switch to Linux on their day-to-day computer.You want an introduction to Linux as the first step to becoming a sys admin or DevOps developer.You’re a hobbyist who wants to try out Linux.Prerequisites:Experience using and performing basic configuration on other computer systems, e.g. WindowsLabels: Software Development,linux,john Bonesio,video,
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Are you ready to pass the Project Management Professional exam? Join expert Joseph Phillips for this recorded interactive event to find out. Joseph will help you work through a preparation checklist, validate all that you’ve done to prepare, and build or tweak a study plan you can rely on.This event is for anyone who’s planning to sit for the exam and wants to:Learn the best test-taking strategies and time management techniquesPractice with questions that accurately reflect the exam's content and difficulty levelReview the toughest areas of content on the examGet questions answered by a certification expertAssess confidence and test-readinessGet a head start on your PMP exam preparationCurious about what awaits you in our upcoming PMP exam cram course? We've handpicked a few bonus questions to give you a taste of the challenges you'll conquer and the knowledge you'll gain. These questions are designed to reflect the real exam's structure and depth, offering you a practical insight into what to expect.Sample questions included:What effect does a scope change have on quality?How can agile project managers predict cost with a variable scope?What’s the difference between pure risk and business risk?What you’ll learn and how you can apply itAssess the depth of your knowledge to determine a plan of studyExplore typical exam questions to understand what you need to knowLearn test-taking strategies to avoid panic and perform at your bestThis live event is for you because...You’ve started preparing for the PMP exam and want to build confidence.You want to assess your readiness for passing the exam.You have questions about the exam for Joseph Phillips.Recommended preparationReview PMI Exam Content Outline (documentation)Review PMP Project Management Professional All-in-One Exam Guide (book)Explore PMP Essentials (expert playlist)Recommended follow-up:Take Project Management Professional (PMP) (Pearson practice test)Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.Labels: Project Management Professional (pmp),business,video,joseph Phillips,
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O'ReillyExpiredEnded Oct 20
Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories—metadata tools about the data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but this practice is at the core of problems with metadata management at large in many companies today.Labels: Fundamentals Of Metadata Management,o'reilly,book,ole Olesen-bagneux,
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O'ReillyExpiredEnded Oct 20
AI is coming to the enterprise faster than any technology before it, often with very little understanding of best practices for usage. The course will position security professionals to be ready to collaborate and lead internal teams on effective and secure rollouts of AI based technology, aware of the risks, benefits and tradeoffs made via various implementation decision points.This course will provide an introduction to AI technology with a heavy focus on Large Language Models. Expert Nate Lee will start with high-level overviews of the different flavors of AI, what they’re good for, and where learners can expect to see them used. With that solid base, the course will dive into areas of specific concern to security professionals, covering topics like security vulnerabilities as well as security concerns about the use of AI technology in business.What you’ll learn and how to apply itBy the end of this course, the learner should understand the basics of the technology that underlies generative AI tools and have the ability to collaborate with others on an effective rollout strategy for their organization.This course is for you becauseYou are a:CISO.Security Manager.Software Engineer, Engineering manager.Security engineer.GRC manager.Anyone in information security looking to learn more about AI.PrerequisitesBasic knowledge of AI systems>/li> Labels: Security,security Engineering,nate Lee,video,
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The CockroachDB architecture is sophisticated: it incorporates decades of database engineering best practices together with several unique innovations. While you don't need to understand its internals to get things done, knowing the fundamental concepts will help you make sound decisions regarding schema design, performance optimization, cluster deployment, and more. This chapter clearly explains everything you need to know about the CockroachDB architecture.And it’s free—our gift to you.Labels: Cloud,chapter,data,o'reilly,cloud Computing,data Engineering,
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In this ebook, 13 members of the Google team share their hard-won experience and show you how to navigate the cultural and technological transformation required to migrate to the cloud.And did we mention, it’s free?Labels: Cloud,system Administration,o'reilly,sre,report,google,cloud Computing,data Engineering,
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Gianluca Arbezzano from InfluxData shows you why Kubernetes is much more than an end application. Extending Kubernetes with its API to implement and automate flows or to gain more visibility into your system more than justifies the system’s cost and complexity. With this report, you’ll learn the right way to use everything it has to offer.Labels: Cloud,kubernetes,software Development,o'reilly,report,api,cloud Computing,data Engineering,
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Arguably the hottest acronym in tech right now? K8S. Kubernetes. Why? Because it’s broadly supported, open source, fast and efficient—and changing the game for organizations to deliver applications.But getting started with the Kubernetes container orchestration can be tricky. That’s where this practical ebook for developers and operators can help, by showing how to run stateful workloads on Kubernetes to transform the way you manage your core enterprise middleware.Labels: Cloud,kubernetes,cloud Native Computing Foundation,o'reilly,
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Download this insightful ebook for free to learn a new approach to DiD that enables current security tools to operate in concert rather than independently. By the time you’re done, your company will be able to establish integrated lines of defense similar to the way in which modern militaries operate on the battlefield. Because let’s face it—hackers have declared war. And it’s imperative that your company wins every battle.Labels: Security,devsecops,o'reilly,report,cybersecurity,
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If you want to fine-tune your prompting skills, make sure to attend O’Reilly’s Prompt to Product Showdown virtual event, led by Lucas Soares, on August 15 from 9AM to noon PDT. You’ll see how five experts use carefully crafted prompts to build minimum viable products with generative AI.Rikin Gandhi, CTO of Digital Green, talks with Ben Lorica about using generative AI to help farmers in developing countries become more productive. Farmer.Chat integrates information from training videos, sources of weather and crop information, and other data sources in a multimodal app that farmers can use in real-time.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00 Introduction.0:45: Digital Green helps farmers become more productive. Two years ago, Digital Green developed Farmer.Chat, an app that uses generative AI to put local language training videos together with weather data, market information, and other data.2:09: Our primary data source is our library of 10,000 videos in 40 languages that have been produced by farmers. We integrate additional sources for weather and market information. More recently, we’ve added information support tools.3:38: We have a smartphone app. Users who only have feature phones can call into a number and interact with a bot.5:00: Prior to Farmer.Chat, our work was primarily offline: videos shown on mobile projectors to an in-person audience. Sending content to phones flips the paradigm: rather than attending a video, farmers can ask questions relevant to their situation.6:40: When did you realize that generative AI opened up new possibilities? It was a gradual transition from offline videos on projectors. COVID didn’t allow us to get groups of farmers together. And more farmers came online in the same period.8:17: We had a deterministic bot before Farmer.Chat. But users had to traverse a tree to get the information they wanted. That tree was challenging to create and difficult to use.9:33: With GPT-3, we saw that we could move away from complexity and cost of using a deterministic bot.11:15: Did ChatGPT alert you to more possibilities? ChatGPT has scoured open internet knowledge. Farmers are looking for location and time-specific information. Even in the earliest version of ChatGPT, we saw that it had a lot of this information. Putting this world together with our video was powerful.13:07: Accuracy, precision, and recall are all important. Are you fine-tuning and using RAG to make sure you are accurate? We had problems with hallucinations even within our knowledge base. We implemented reranking and filtering, which reduced hallucinations to <1%. We’ve created a golden Q&A set.16:01: People are now talking about GraphRAG, the use of knowledge graphs for RAG. Can you create a knowledge graph because you know your data so well? A lot of concepts in agriculture are related—for example, crop calendars for how crops develop. We’re trying to build those relations into the system.17:05: We are leveraging agentic orchestration for the overall pipeline. Based on the user’s query, we may be able to answer questions directly rather than go through the RAG pipeline.18:44: Your situation is inherently multimodal: video, speech-to-text, voice; is this a challenge? We’re now using tools like GPT Vision to get descriptive metadata about what’s in videos. It becomes part of the database. We began with text queries; we added voiceLabels: Generative Models,audiobook,data,rikin Gandhi,
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What can AI do to improve healthcare? Kingsley Ndoh, founder of Hurone AI, talks with Ben Lorica about how Hurone is making cancer care more effective for people who are underserved by the medical system. He discusses how AI can streamline the medical process, both helping doctors to treat patients more effectively and making clinical trials more diverse.About the Generative AI in the Real World podcast: In 2023, ChatGPT put AI on everyone’s agenda. In 2024, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.Points of Interest0:00: Introduction.0:36: What motivated you to apply AI to cancer care? What problems are you trying to solve?1:39: We need environments for training AI models that are effective for all populations.2:31: Current oncology solutions serve advanced healthcare systems, leaving community oncology centers and international markets underserved.3:31: Lack of diversity in clinical trials means we don’t have full evidence on the efficacy of drugs.5:00: What is an oncologist?6:10: Cancer is a very complex disease; every cancer is different and has its own solutions.6:43: What advantages do you bring as a domain expert?7:11: I’ve been a physician taking care of patients. I understand clinical workflows in Nigeria and the US. I’ve also been an entrepreneur since I was in high school. I’ve also worked in the global oncology space with governments and pharma companies. That network is very important.9:15: What was the situation before Gukiza [Hurone’s app]? What does Gukiza enable today?9:44: Gukiza makes care more accessible to patients and optimizes workflows for oncologists. They may have to travel long distances to see an oncologist; they may have side effects or even emergencies that are avoidable; data about events may be lost.12:53: Gukiza streamlines the process; it’s a two-way system that can be used standalone. There is a HIPPA-compliant API that can be integrated into major electronic medical records systems. Patients aren’t limited to an app; there is an API for WhatsApp, Telegram, and text messaging.14:13: Patients can describe their problems. Clinicians can click a button and generate a response that they can review and send to the patient. Clinicians can also call patients, do clinical summaries, and see how patients are progressing.17:08: One should think about this as a copilot. The app makes suggestions; the physician makes the decision.17:35: There are definitely risks. We are building our model and fine-tuning it to ensure that hallucination is limited. But there is still a final human review.18:40: What if I want to use the system in a completely new country? What does it take to get the system into a viable, usable state?19:41: We conform to the country’s guidelines for the management of patients. Cancer care is usually based on established guidelines. In the US, we have NCCN guidelines. To make sure guidelines are responsive to different regions, the NCCN looked at evidence for research done in different countries to harmonize guidelines. That gave birth to the resource stratified guidelines for regions like Sub-Saharan Africa. We don’t need to customize a lot.21:38: We are also building agreements for access to de-identified cancer data. As we scale, it will get better.24:02: Health data is the most sensitive data in the world, but also the most abundant. Compared to other industries, healthcare is lagging behind. But many regions are looking for disruption and innovation and are willing to be flexible to work with us.25:20: Our solution isn’t a magic bullet, but it will shift the needle.
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In today’s workplace, coaching is an important strategy for nurturing skills, enhancing performance, and building confidence in team members. Beyond mere skill development, effective coaching addresses challenges proactively, preventing potential issues from snowballing. When managers maximize employee potential and surround employees with supporting talent, they position their teams to grow and help the organization succeed. In this on-demand course, you’ll learn practical, actionable steps that elevate coaching prowess, fuel motivation, boost productivity, and support career success.What you’ll learn and how to apply itUnderstand the fundamentals of coachingLearn the five-step model of coachingKnow how to apply coaching skills effectivelyLearn to develop a culture of coaching in your organization or businessThis course is for you becauseYou are a manager or leader and you want to develop and support your reports more effectively.You are a leadership-minded individual contributor or aspiring manager working with multiple people and you want to influence them positively, enable their learning, and support their performance.Labels: Business,sujatha Das,video,executive Coaching,
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Microsoft Power Apps provides tech-savvy employees the ability to develop business applications without coding or the use of advanced developer tools. It empowers users to create their own business apps, contributing fully functional solutions to the workplace that can be accessed and shared on practically any device. In this on-demand course, you will learn the fundamentals and best practices for working with Power Apps.Through a mix of concise presentations and demonstrations, you'll learn how to build a Power App using data from SharePoint, Excel, and Microsoft SQL Server, create a Power App from a template or a blank canvas, utilize Copilot for easier app builds, and create Power Pages websites.What you’ll learn and how you can apply itBy the end of the course, the learner should be able to build applications using Power Apps and share these apps with their colleagues.This course is for you because…You're an enterprise user of Microsoft 365 who wants to create powerful apps with minimal or no coding.You want to make it easy for your team members to access and work with data, especially when your team members are mobile or remote.You want to automate business processes using rules, table relationships, and business logic.Prerequisites:Familiarity with Microsoft Office or Microsoft 365Labels: Data,microsoft Power Platform,video,jeremy Nathan,
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This course is an introduction to designing and implementing production machine learning (ML) systems that will give students the skills necessary to architect and deploy ML solutions to the cloud. This course is for anyone with at least 2 years of programming experience and familiarity with ML looking to deliver real business value with ML in real, enterprise software systems.Using Python, Docker, Kubernetes, and Google Cloud, students will learn the practical skills necessary to build end-to-end ML systems, from engineering training data, features and data pipelines to deploying and monitoring ML models for real-time inference in production.What you’ll learn and how you can apply itExplain, design and implement components of a production ML systemThis course is for you because…You're an ML practitioner interested in learning to take your models from development to production, enterprise systems.You're a software engineer looking for the specific experience required to design and build ML-powered systems.You're an ML enthusiastic looking for the theoretical and practical skills required to train, evaluate, deploy and monitors models in real-world settings.Prerequisites:2 years of object-oriented programming experience (preferably Python)1 year of experience working with a cloud provider (Google Cloud, Amazon Web Services, etc..)Beginner knowledge of systems design conceptsBeginner knowledge of data engineering conceptsBeginner knowledge of experience using linuxLabels: Kyle Gallatin,data,video,machine Learning,
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This practical book features 83 items that give specific advice on what to do and what not to do, and how to think about the language. Author Dan Vanderkam shows you how to apply each item's advice through concrete examples. This book will help you advance from a beginning or intermediate user familiar with TypeScript basics to an expert who knows how to use the language well. Updated for TypeScript 5, this second edition includes two new chapters on type-level programming and TypeScript recipes.Labels: Ebook,o'reilly,book,typescript 5,typescript,dan Vanderkam,
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If you're a software developer looking for a quick on-ramp to software architecture, this handy guide is a great place to start. From the authors of Fundamentals of Software Architecture, Head First Software Architecture teaches you how to think architecturally and explores the unique challenges of software architecture. You'll learn the distinction between architecture and design and the relationship between code, components, and architectural styles. You'll also learn how to work with some common architectural styles through vivid, fun examples. Quick, easy, and entertaining, this book is a valuable introduction to the world of software architecture.Labels: Software Architecture,code,o'reilly,book,head First,
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O’Reilly believes that innovation depends on the contributions of people with a variety of perspectives. To help members of groups underrepresented in technology develop and sharpen the skills needed to break through barriers within the field, they’re offering 500 annual scholarships that give recipients full access to the O’Reilly learning platform.If you belong to a group that's underrepresented in tech—and that includes women, the Black, Indigenous, Latinx, and Asian communities, the LGBTQIA+ community, veterans, and people with a physical or neurological disability—and want to kickstart your career, upskill, or develop new tech skills, you can apply here. The deadline for applications is April 1, 2024.Labels: Diversity,o'reilly,scholarship,deij,
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There’s never been a better time to get RHCE certified. Learn key Ansible and exam concepts and understand the objectives of the exam, and then practice your skills with hands-on labs. Get RHCE certified now!Labels: Playlist,o'reilly,ansible,rhce,certification,
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Ansible enables developers and system administrators to codify their knowledge, to capture IT automation processes as code, storing changes systematically. This process, also known as configuration management, makes your work predictably reliable by allowing machines to execute the code, as a remote control for the rest of the IT infrastructure. Ansible can send commands and configuration to manage all IT in your company from one central point.The simplicity and power of Ansible can help reduce the complexity in managing IT infrastructure. Ansible was designed to be so simple that co-workers can comprehend the code quickly, enhancing productivity, scalability and cooperation. This course will jumpstart your skills in using this technology. It provides examples and just enough background to grasp the power of this tool and start creating your own automation.What you’ll learn and how to apply itProvide developers and system administrators with a solid foundation in using Ansible for automation and configuration managementGive participants practical knowledge and hands-on experience to effectively leverage Ansible in real-world scenariosTeach learners how to select and install additional Ansible content from vendors and the community that caters to various needsThis course is for you becauseYou're a developer interested in an overview of the lifecycle of the Ansible software.You're a developer who writes software for Linux and want to learn how to use Ansible to manage their environments.You're a junior sys admins that might want to understand automation tooling for advancement.You're a DevOps engineer tasked with automating as much as possible.You're a software architect who needs to know more about automating infrastructure.You're an IT professional adding to your tool knowledge.PrerequisitesBeginner knowledge of Linux commandsAbility to edit text files and create directoriesAccess to a Linux machineLabels: Bas Meijer,ansible,video,it Operations,
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Computer Vision Fundamentals is an extensive exploration of how artificial intelligence, with a specific focus on deep learning, is driving significant advances in the field of computer vision. This course melds theory and practice, introducing everything from the foundational aspects of image processing to the hands-on implementation of advanced deep learning models in PyTorch, including applications on edge devices.In a progressively digital and data-driven world, processing, analyzing, and deriving insights from vast quantities of visual data is crucial. This course will provide you with the requisite skills and knowledge to apply computer vision techniques to a wide array of sectors, such as autonomous vehicles, facial recognition systems, medical imaging, and edge computing.The course begins with a thorough introduction to computer vision, image processing, and deep learning. It offers an understanding of how these disciplines interconnect and how deep learning enhances traditional computer vision tasks. You will then delve into the foundational mathematics that underpins neural networks and how to implement these networks using the PyTorch framework.From there, you will start building advanced computer vision applications using PyTorch, including convolutional neural networks for image classification, object detection with YOLO, semantic segmentation with U-Net, and pose estimation. Each topic will provide you with both theoretical knowledge and hands-on coding experience, ensuring a comprehensive understanding of the subject matter.Further enhancing your practical skills, the course will turn to real-world case studies. By exploring how deep learning and computer vision techniques are applied in facial recognition systems, autonomous vehicles, and medical imaging, you'll gain insight into the transformative impact of these technologies in various industries.Finally, you will engage with the principles of Machine Learning Operations (MLOps) in the context of computer vision, learning to manage machine learning life cycles efficiently. The course closes by investigating the challenges and solutions of applying MLOps in computer vision projects, such as handling image data, model explainability, and deploying computer vision models in production environments.By the end of this course, you will have a well-rounded understanding of the fundamental concepts, underlying mathematics, and practical applications of computer vision and deep learning. You will be equipped with the tools and knowledge to implement these models and solve real-world problems, giving you a competitive advantage in your software development or data science career.What you’ll learn—and how you can apply itUnderstand the fundamental concepts of computer vision and deep learning and their interrelationBecome proficient in creating, training, and evaluating various types of neural networks, including convolutional neural networks, vision transformers, and generative adversarial networks using the PyTorch frameworkBecome capable of implementing advanced computer vision techniques such as object detection, semantic segmentation, and pose estimation using PyTorchBecome adept at applying computer vision and deep learning techniques to solve real-world problems and evaluate their performanceUnderstand the concept of edge computing in computer vision, be able to apply MLOps principles for managing machine learning lifecycle in deep learning and computer vision projects and recognize future trends in the field of computer vision and deep learningThis video course is for you because…You're a software developer interested in learning to leverage deep learning models, particularly in computer vision, to build AI-powered applications.You're looking to transition from a traditional software development role into a specialized artificial iLabels: Richmond Alake,data,computer Vision,video,
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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Labels: Python,ai/ml,generative Ai,o'reilly,ai,keras,machine Learning,scikit-learn,tensorflow,
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We reward our best engineers by…moving them out of engineering? Treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The role of staff engineer allows engineers to contribute at a high level, driving big projects and determining technical strategy. This new book explores this important new role. And chapter 2 provides staff engineers with three maps to help them understand where they are, where they want to go, and how to get there. This is one small sample of what you’ll find on the O’Reilly learning platform.And it’s yours, free today.Labels: Chapter,o'reilly,engineering Executive,software Engineering,engineering,engineering Manager,data Engineering,
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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. This useful handbook is one of the few resources that dives into every piece of this data science stack and related tools.Download the first chapter, “IPython: Beyond Normal Python,” for an in-depth look into author Jake VanderPlas’s preferred environment. You’ll soon learn the details that make IPython a powerful control panel to run Python effectively for interactive scientific and data-intensive computing.And right now you can get it for free.Labels: Chapter,python,data Science,o'reilly,
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The very first chapter of this practical new book shows you how to report the tetranucleotide frequency from a string of DNA. Sounds pretty simple, right? But there are different ways to do it. The author walks you through writing and testing several different versions of the program so you can explore many aspects of Python data structures, syntax, modules, and tools. This tutorial is an ideal way to learn how to structure, document, and test a program.And the best part? You can download it free today.Labels: Chapter,python,o'reilly,bioinformatics,
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If you’re new to Java, this bestselling guide provides an example-driven introduction to the latest language features and APIs in Java 6 and 7. Chapter 4 provides a clear explanation of the Java language syntax. This is one small sample of what you’ll find on the O’Reilly learning platform.And it’s yours, free today.Labels: Chapter,java,o'reilly,api,
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@O’ReillyMedia believes that innovation depends on the contributions of people with a variety of perspectives. To help members of groups underrepresented in technology develop and sharpen the skills needed to break through barriers within the field, they’re offering 500 annual scholarships that give recipients full access to the O’Reilly learning platform. Learn more and apply now!Labels: Diversity,o'reilly,scholarship,deij,
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In this ebook, O’Reilly offers a collection of stand-alone chapters from several of its published and forthcoming books. You’ll get valuable information on innovative tools and processes to help you face disruption, deal with increasing complexity, and build new technical capabilities.
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O'Reilly's learning platform offers more breadth and depth of content and features to help your tech teams stay ahead.
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O’Reilly Releases 2023 Generative AI in the Enterprise Report Revealing Unprecedented 67% Rate of Adoption, Growing Demand for AI Programming and Data Analysis Skills
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There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.
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You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images.
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