Learning Engineering

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

The ultimate guide of how-to templates with real-world examples that demystify the art and science of AI prompt writing, offering clear frameworks, proven templates, and step-by-step instructions. This empowering guide reveals the exact formulas behind successful prompts with structured templates, troubleshooting guides, and practical exercises. Develop the critical thinking skills needed to achieve consistent, high-quality AI outputs.

The Art of Doing Science and Engineering is the expression of what “You and Your Research” outlined. It's a book about thinking; more specifically, a style of thinking by which great ideas are conceived. The book is filled with stories of people performing mighty deeds—but they are not meant simply to be admired. Instead, they are to be aspired to, learned from, and surpassed. Hamming consistently returns to Shannon’s information theory, Einstein’s theory of relativity, Grace Hopper’s work on high-level programming, Kaiser’s work on digital filters, and his own work on error-correcting codes.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Are you intrigued by the world of AI and data engineering? Do you find yourself captivated by the potential of these technologies to transform businesses and industries? If so, Data Engineering and AI for Beginners is the introductory guide you've been searching for. In today’s fast evolving digital landscape where data is lifeblood, those who harness its flow hold the keys to game-changing insights. This book addresses the very challenges and questions that have been on your mind: What is Data Engineering? How Does AI Fit into the Picture? Is This for Me, a Beginner? What Tools and ...

AI is changing how work is done, and the people who know how to direct AI reliably are becoming some of the most valuable professionals in the market. But prompt engineering is not “prompt tricks.” Real prompt engineering is a system: clear output contracts, multi-step pipelines, evaluation tests, grounded retrieval (RAG), and safety controls that prevent hallucinations and prompt injection. AI Prompt Engineering is a practical, self-learning textbook designed to take you from beginner to job-ready in 30 days. You will learn how to write professional prompts that produce consistent ...

Artificial Intelligence & Machine Learning By Morgan Steele Master Modern AI with Real-World Applications, Hands-On Projects, and Clear Explanations Unlock the power of AI and machine learning with this practical guide designed for developers, analysts, and tech professionals at every level. Whether you're building intelligent systems, exploring generative AI, or preparing for a career in data science, this book provides the tools and knowledge to get you there. Inside, you'll learn: Core concepts of AI and how machines learn Supervised, unsupervised, and reinforcement learning explained ...

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

AI Hardware, Software, and Architectures Powering Modern Artificial Intelligence From GPUs and ASICs to CUDA, Accelerators, Compilers, and Runtimes Modern artificial intelligence is not powered by models alone—it is driven by a carefully engineered stack of hardware, software, and system architectures working together at scale. This book provides a clear, practical, and system-level view of how modern AI actually runs, from silicon to software. It explains how GPUs, ASICs, and emerging accelerators execute neural networks, how CUDA and alternative runtimes expose hardware capabilities, ...

You are being lied to about how to use AI. It’s the truth. The gurus, the articles, the viral posts… they’re all feeding you the same tired advice: “Be specific.” “Assign a role.” And it’s the #1 reason you’re still getting useless, generic garbage from AI. You’ve felt it, haven’t you? That maddening gap between the incredible results you see others achieve and the frustrating mediocrity you get yourself. It’s not your fault. You’ve been given a map designed to make you fail. This book is the antidote: it isn’t just another list of disposable prompts. It’s a ...

Transform Your Understanding of AI from Confusion to Confidence While millions panic about being left behind by AI, the revolution has barely begun. We're at the 1995 - equivalent of the internet age - and understanding AI now puts you ahead of 90% of the workforce. This practical guide cuts through the ChatGPT hype to reveal what's really happening with artificial intelligence. You'll discover the crucial difference between generative AI (tools that create content) and agentic AI (systems that make autonomous decisions) - a distinction that changes everything about how you evaluate, adopt,...

Master the art of embedded systems — from hardware design to real-world IoT applications. This comprehensive guide teaches you how to design, program, and deploy microcontroller-based systems using ATtiny, ATmega, ESP32, and similar architectures. Combining theory with practical examples, this book walks you through each stage of embedded development — from circuit design and firmware creation to communication, optimization, and deployment. Through detailed schematics, code listings, and illustrated projects, you’ll learn how microcontrollers interact with sensors, displays, and ...

A step by step guide for the every day person mixing or wanting to mix live sound for a band or a show. This fact filled guide that gives you the foundation you need to become a great audio engineer. This book is a basic guide to help the everyday person serve as a great audio technician. The book has been laid out to first help you to understand the equipment involved and how to properly use the equipment. If you follow this book and the principles outlined, you will learn something and become a better audio engineer. Almost anyone, including those with little to no technical or audio know...

The vast majority of writers begin the storytelling process with only a partial understanding of where to begin. Some labor their entire lives without ever learning that successful stories are as dependent upon good engineering as they are artistry. But the truth is, unless you are master of the form, function, and criteria of successful storytelling, sitting down and pounding out a first draft without planning is an ineffective way to begin. Story Engineering starts with the criteria and the architecture of storytelling, the engineering and design of a story....

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

Step into the year 2026: when AI stops following prompts and starts THINKING for itself. This short read reveals a breathtaking transformation in technology: the dawn of Reasoning AI, when Thinking Machines begin reshaping how we work, create, build businesses, and live our everyday lives. Discover why prompt engineering is dying, how autonomous AI systems are replacing the old “ask-and-answer” model, and what this shift means for entrepreneurs, creators, developers, and anyone determined to stay relevant in an AI-first world. Explore the rise of multi-agent ecosystems, real-time self-...

A new and expanded edition of one of the decade’s most influential education books. “The bible of the maker movement in schools” includes new coverage of the BBC micro:bit, Scratch, littleBits, Hummingbird robotics, equity issues, and lessons from schools around the world. In this practical guide, Sylvia Martinez and Gary Stager provide K-12 educators with the how, why, and cool stuff that supports making in the classroom, library, makerspace, or anywhere learners learn. Join the maker movement and transform education! There’s a technological and creative revolution underway. ...

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

Master Deep Reinforcement Learning: Your Path to AI Excellence Are you ready to elevate your AI research career to new heights? Do you want to become the go-to expert in your field, respected for your mastery over autonomous systems? Yes? Then you know the frustration of working with outdated code that halts your progress. Have you ever invested in resources that didn't deliver, risking your advancement in the ever-evolving AI landscape? Again, yes? Navigate the Challenges of AI with Confidence We understand the critical pain points faced by ambitious AI researchers and developers like you....

Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.