Learning Engineering

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.

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.

Mathematical Mindsets provides practical strategies and activities to help teachers and parents show all children, even those who are convinced that they are bad at math, that they can enjoy and succeed in math. Jo Boaler - Stanford researcher, professor of math education, and expert on math learning - has studied why students don't like math and often fail in math classes. She's followed thousands of students through middle and high schools to study how they learn and to find the most effective ways to unleash the math potential in all students.

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.

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.

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.

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?

Dive into the fascinating world of how both your brain and AI learn through supervised learning! In this engaging and accessible book, neuroscientist Dr. Tursun Alkam takes you on a journey to explore the incredible learning capabilities of the human brain and the revolutionary world of Artificial Intelligence.

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.

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.

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.

Coming home from the war in Iraq, US Army private Roy Scranton thought he'd left the world of strife behind. Then he watched as new calamities struck America, heralding a threat far more dangerous than ISIS or al-Qaeda: Hurricane Katrina, Superstorm Sandy, megadrought - the shock and awe of global warming. Our world is changing. Rising seas, spiking temperatures, and extreme weather imperil global infrastructure, crops, and water supplies. Conflict, famine, plagues, and riots menace from every quarter.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

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.

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.

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.

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.

Far too often, public discussion of science is carried out by journalists, voters, and politicians who have received their science secondhand. The Story of Western Science shows us the joy and importance of reading groundbreaking science writing for ourselves and guides us back to the masterpieces that have changed the way we think about our world, our cosmos, and ourselves.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.