Learning Science 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.

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.

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 ...

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.

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.

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.

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.

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.

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.

In this groundbreaking work, evolutionary biologist Jared Diamond stunningly dismantles racially based theories of human history by revealing the environmental factors actually responsible for history's broadest patterns. It is a story that spans 13,000 years of human history, beginning when Stone Age hunter-gatherers constituted the entire human population. Guns, Germs, and Steel is a world history that really is a history of all the world's peoples, a unified narrative of human life.

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.

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 ...

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.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Developed by experienced professors and professionally narrated for easy listening, this course is a valuable tool when preparing for your Part 107 exam. You will learn important aviation terminology and concepts, the application process for remote-pilot certification, the effect of weather on small unmanned craft, and more.

The most successful programs of the last 30 years were developed in C++. From Microsoft Word to Facebook to Adobe Photoshop, C++ is at the heart of the most lucrative technologies in today’s world. C++ is the most powerful programming language in the modern world for one simple reason: It allows for complete control, not only of the program’s logic and graphical user interface, but of the hardware, too.

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.

Long before smartphones and satellite apps, people trusted the sky to tell them what tomorrow would bring. Reading the Sky is your practical, easy-to-follow guide to forecasting the weather using nature’s timeless signs—cloud shapes, wind shifts, colors at dawn and dusk, and even the stars above.

Leopold's essays on conservation will open the mind of any listener who gives them a chance. The first part uses essays for each of the 12 months to share the rhythm of life on his restored Wisconsin farmland, and uses the stories to branch into eye opening lessons on the history of man's use and abuse of it. The second part continues using stories from Leopold's experiences in wild places across North America to expand the lessons to a much wider view. The final part of the work seeks to lay out a better path for humanity, using solid logic and deep philosophical questioning.

Space is a world devoid of the things we need to live and thrive: air, gravity, hot showers, fresh produce, privacy, beer. Space exploration is in some ways an exploration of what it means to be human. How much can a person give up? How much weirdness can they take? What happens to you when you can’t walk for a year? Have sex? Smell flowers? What happens if you vomit in your helmet during a space walk? Is it possible for the human body to survive a bailout at 17,000 miles per hour?