Learning Engineering

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 ...

Prompt Engineering Mastery The Ultimate Guide to Crafting AI Prompts for Every Occasion The Last Book You’ll Ever Need on ChatGPT and AI Prompting In late 2022, the world quietly flipped. ChatGPT arrived—not as a clunky search tool, but as a remarkably articulate, creative partner. Yet the real power wasn’t just the model. It was the prompt. This book reveals the blueprint for turning vague asks into precise, repeatable, astonishingly useful results. With Prompt Engineering Mastery, you won’t just “use” ChatGPT—you’ll direct it. Why This Book Is Different Most guides offer ...

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.

Practical Data & AI for Engineers Applied Machine Learning, Data Pipelines, and AI Integration in Engineering Projects In today’s engineering world, data and artificial intelligence are no longer optional — they are essential. Practical Data & AI for Engineers bridges the gap between traditional engineering practice and the new era of intelligent automation, predictive analytics, and digital twins. This hands-on guide provides a real-world, engineering-focused introduction to applied machine learning, data management, and AI-driven solutions. It shows how engineers across disciplines ...

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 ...

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.

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.

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.

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.

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...

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

"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 ...

There is nothing more essential to our health and well-being than breathing. Yet, as a species, humans have lost the ability to breathe correctly, with grave consequences. Journalist James Nestor travels the world to figure out what went wrong and how to fix it. The answers aren’t found in pulmonology labs, as we might expect, but in the muddy digs of ancient burial sites, secret Soviet facilities, New Jersey choir schools, and the smoggy streets of São Paulo. Nestor tracks down men and women exploring the hidden science behind ancient breathing practices.

In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively - secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions - you just need the creativity to see them.

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....

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.

The science on climate change has been clear for a very long time now. Yet despite decades of appeals, mass street protests, petition campaigns, and peaceful demonstrations, we are still facing a booming fossil fuel industry, rising seas, rising emission levels, and a rising temperature. With the stakes so high, why haven't we moved beyond peaceful protest? In this lyrical manifesto, noted climate scholar (and saboteur of SUV tires and coal mines) Andreas Malm makes an impassioned call for the climate movement to escalate its tactics in the face of ecological collapse.

In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.