Learning Engineering

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.

Interweaving her vast knowledge of neurology, sociology, psychology, and philosophy with fascinating down-to-earth examples and lively personal anecdotes, developmental psychologist, neuroscientist, and dyslexia expert Wolf probes the question, "How do we learn to read and write?" This ambitious and provocative new book offers an impassioned look at reading, its effect on our lives, and explains why it matters so greatly in a digital era.

Investigating how your senses work, how you move, and how you think and feel, Neuroscience for Dummies, 2nd Edition is your straightforward guide to the most complicated structure known in the universe: the brain. Covering the most recent scientific discoveries and complemented with engaging anecdotes that help bring the information to life, this updated edition offers a compelling and plain-English look at how the brain and nervous system function.

Author Mark Kurlansky pleasantly surprised the world with this engaging best-seller that garnered rave reviews from critics and casual readers alike. His subject for this whimsical biography is the codfish, a species remarkable for its influence on humanity. Cod, Kurlansky argues, has driven economic, political, cultural and military thinking for centuries in the lands surrounding the Atlantic Ocean. Nations like England and Germany have waged wars for cod.

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.

This book explains engineering practice, what engineers actually do in their work. The first part explains how to find paid engineering work and prepare for an engineering career. The second part explains the fundamentals of engineering practice, including how to gain access to technical knowledge, how to gain the willing collaboration of other people to make things happen, and how to work safely in hazardous environments.

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.

Bringing Up Bébé meets Last Child in the Woods in this lively, insightful memoir about a mother who sets out to discover if the nature-centric parenting philosophy of her native Scandinavia holds the key to healthier, happier lives for her American children.

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.

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.

In this classic, the world’s expert on language and mind lucidly explains everything you always wanted to know about language: how it works, how children learn it, how it changes, how the brain computes it, and how it evolved. With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association....

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

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.

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.

With increasingly sophisticated video games being consumed by an enthusiastic and expanding audience, the pressure is on game developers like never before to deliver exciting stories and engaging characters. With Video Game Storytelling, game writer and producer Evan Skolnick provides a comprehensive yet easy-to-follow guide to storytelling basics and how they can be applied at every stage of the development process - by all members of the team.

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.

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!

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

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.

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.