Learning Engineering

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.

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.

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.

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.

One of the greatest physicists of the twentieth century, Richard Feynman possessed an unquenchable thirst for adventure and an unparalleled ability to tell the stories of his life. "What Do You Care What Other People Think?" is Feynman's last literary legacy, prepared with his friend and fellow drummer, Ralph Leighton.

Leading an HVAC company can seem like a daunting task, with too few hours in the day, too many petty management issues, and problems HVAC contractors in large businesses don't seem to face. The E-Myth HVAC Contractor offers you a road map to create a business that's self-sufficient, growing, and highly profitable. Take your company to levels you didn't think possible with this unique guide!

The battle with the Iron Legion has left The Last Horizon battered and broken, drifting in space. Varic needs an exceptional engineer to fix his ship, and there’s only one person for the job: Mell, the master Aether technician. But first, they have to break her out of prison. Mell has been captured by the Advocates, a group of superpowered vigilantes who dominate their corner of the galaxy. They are led by Starhammer, an invincible champion with a personal obsession with Mell.

Penguin presents the unabridged, downloadable audiobook edition of Landmarks, a fascinating exploration of the relationship between language and landscapes by Robert Macfarlane, read by Roy McMillan. Words are grained into our landscapes, and landscapes are grained into our words. Landmarks is about the power of language to shape our sense of place.

In 1793 William Smith, a canal digger, made a startling discovery that was to turn the fledgling science of the history of the earth - and a central plank of established Christian religion - on its head. He noticed that the rocks he was excavating were arranged in layers; more important, he could see quite clearly that the fossils found in one layer were very different from those found in another. And out of that realization came an epiphany.

Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.

Is circuit engineering what you want to learn? Always wondered how one becomes an electrical engineer? Do semiconductors and circuit boards interest you? Purchase Circuit Engineering to discover everything you need to know about basic electronics. Step by step to increase your electrical skills. Learn the anatomy of a circuit. All your basic knowledge in one download!

Zero to Finals Medicine, 2nd edition, is part of the Zero to Finals series, aimed at providing key learning material for students. The books are designed to be studied from cover to cover in preparation for your exams. There is a focus on the key information that is tested in exams, without the waffle. It contains the concepts, vocabulary and latest guidelines you need, as well as helpful TOM TIPs, which are pearls of wisdom from the author, gained over more than a decade of sitting medical exams.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Unlock your path to becoming a licensed drone pilot effortlessly with the "2024-2025 FAA Drone License Exam Guide." This meticulously crafted book offers a simplified yet comprehensive approach to ace the FAA Part 107 Drone License Exam in a single sitting. Authored by an expert in the field, this guide is your ultimate companion, providing the knowledge and confidence you need to succeed.

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

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?

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.

David Bodanis demystifies the world's most famous equation, explaining its science and bringing it to life. He makes clear the astonishing array of discoveries and consequences it made possible and its impact on our daily lives. At last, the masses can understand that Einstein did nothing less than open the door to the inner structure of the universe.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.