Learning Engineering

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.

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.

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.

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.

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 ...

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 ...

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.

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.

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, ...

Let’s Get Real—Running Your Own Business Isn’t Always Pretty. Some days you’re a marketing genius. Other days, you’re accountant, customer service, and tech support—before lunch. Sound familiar? The truth: It’s easy to feel stretched thin when your to-do list grows faster than you can cross things off—and even harder to juggle it all without losing that personal magic your business is built on. Good news: You don’t need a PhD in productivity or another “guru” pep talk. What you need are real-world, proven prompts and tools that plug right into your business routine—...

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 Prompt Engineer: A Comprehensive Guide to Becoming Highly Effective" is a book aimed at individuals seeking to develop their prompt engineering skills and become highly effective prompt engineers. The book covers a wide range of topics, including an overview of prompt engineering, essential skills for prompt engineers, tools of the trade, designing effective prompts, implementation and deployment, and advanced topics in prompt engineering. In the first chapter, readers will gain an understanding of what prompt engineering is and its applications in modern businesses. Chapter two delves ...

Entering the world of engineering and STEM isn’t just for “brainiacs". Anyone can succeed in this arena, but it does require dedication and attention to critical skills. In this book about how to start your science and engineering career, author and engineer Jake Ryland shares seven practical steps for good grades and continued success in the world of engineering. Drawing from his own experience as a struggling student, Ryland emphasizes the importance of a proper foundation and avoiding common pitfalls.

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....

"How to Become a Cloud Engineer in less than 6 Months" has been specifically prepared to help foster a career in cloud computing for anyone wanting to move to a rewarding career in Cloud Computing. In this book "How to Become a Cloud Engineer in less than 6 Months" you’ll find cloud career insight from technical experts that is covered in detail for anyone new to cloud computing. This guide has been designed to help you prepare for a rewarding career as a cloud engineer. This book provides readers the following to get started preparing for a cloud career. What a cloud engineer role could ...

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,...

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

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....

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 Engineers" is a foundational textbook meticulously crafted to introduce B.Tech and M.Tech engineering students to the principles and practices of Machine Learning (ML). This book serves as a bridge, connecting the theoretical underpinnings of ML algorithms with their practical application in solving complex engineering problems. Recognizing that the engineers of tomorrow must be adept at leveraging data, this book demystifies ML, making it accessible, intuitive, and directly relevant to their discipline. Key Features: 1. NEP 2020 and AICTE Compliant: The structure and ...