Oreilly Coupons & Promo Codes
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Book link - Python for Data Analysis, 3E
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Book link - Practical MLOps
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.
Book link - Developing on AWS with C#
Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective.
Course link - Linux for Beginners
This early release (ongoing) course will give you a foundational knowledge to quickly get started with Linux. You will learn practical examples packaged in easy-to-follow videos that give you just enough knowledge to use Linux.
Course link - Introduction to MLflow for MLOps
Learn how to use MLflow for managing the machine learning lifecycle. Track experiments, package models, and deploy to production.
Video link - 52 Weeks of AWS-The Complete Series
Become an AWS virtuoso with this comprehensive 52-week video series, designed to walk you through all pivotal AWS Certifications—from the AWS Certified Developer Associate to the AWS Certified Solutions Architect.
Video link - Responsible Generative AI and Local LLMs
This video series covers mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax.
Report link - Modern Defense in Depth
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.
Report link - Retaining and Retraining Technical Talent
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.
Report link - The Evolving Role of the Data Engineer
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.
Report link - The State of Machine Learning Adoption in the Enterprise
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.
Report link - The Value of AI‑Powered Business Intelligence
To stay competitive, you need to know how to use AI strategically. The Value of AI-Powered Business Intelligence explains how AI-infused business intelligence can help your business users discover actionable, easy-to-understand insights independently from IT—even while remaining within the organization’s secure and governed IT architecture. Oh, and did we mention it’s free?
Report link - What Are ChatGPT and Its Friends?
If you want to understand the possibilities that ChatGPT (and similar models) offer your organization, it’s important to move past the hype. Large language models like GPT-3 and GPT-4 represent one of the biggest technological leaps we’ve seen in our lifetime.
Report link - What Are Miniservices?
Miniservices provide a valuable middle ground between monoliths and microservices. As Nicholas Keune explains in this report, miniservices are suited for application landscapes involving data-intensive workloads that span monoliths and microservices or cross the traditional boundaries of a service context. Drawn from the work of many development teams, the report gives a model and language to data-centric system attributes so that they can be considered more proactively in the design discussion.
Report link - What is SRE?
In this free report by Kurt Andersen from LinkedIn and Craig Sebenik from Split, you’ll learn about how you can successfully introduce SRE processes to your business through a variety of helpful case studies from companies like Google and Slack.
Free chapter link - AI and Machine Learning for Coders, Ch 2
If you need a programmer on your team to become an AI specialist, this book by Google’s Laurence Moroney is the ideal place to start. It’s an introductory guide based on his extremely successful AI courses with a hands-on, code-first approach to help readers build confidence while they learn. Chapter 2 is pretty special, detailing how to get a model to learn how to recognize content in pictures so it can “see” what’s in them. You’ll work with a popular dataset of clothing items and build a model that can differentiate between them, thus “seeing” the difference between types of clothing—going from theory to designing the neural network, writing the complete code, training the network, and exploring the model output. And it’s yours free.
Free chapter link - Analytical Skills for AI and Data Science, Ch 2
Probably the most crucial skill in your analytical toolbox is the ability to formulate the right questions. The new book Analytical Skills for AI and Data Science explains a battle-tested end-to-end method to help you translate business decisions into prescriptive solutions using data and AI. Chapter 2, “An Intro to Analytical Thinking,” details the three stages of analyzing a business decision—as well as the levers, consequences, and business results. It’s extraordinarily useful—and it’s free, courtesy of O’Reilly.
Free chapter link - Artificial Intelligence in Finance, Ch 6
This book provides practical ways to apply machine learning and deep learning algorithms to finance. Chapter 6 covers how to use neural networks to discover statistical inefficiencies, predict market direction, make intraday predictions, and more. It’s just one small example of the wealth of content available on the O’Reilly learning platform. And it’s yours, free.
Free chapter link - AWS Cookbook, Ch 1
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.
Free chapter link - CockroachDB—The Definitive Guide, Ch 2
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.
Free chapter link - Creating Augmented and Virtual Realities, Ch 5
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.
Free chapter link - Designing Autonomous AI, Ch 4
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.
Free Chapter--The Engineering Leader, chapter 3
The Engineering Leader, written by Cate Huston, engineering director at DuckDuckGo, empowers you to bridge the gap between brilliant engineer and inspiring leader.
Book link--Excel Cookbook
Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel.
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