Learning Science

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

We're Doomed, Now What? addresses the crisis that is our time through a series of brilliant, moving, and original essays on climate change, war, literature, and loss from one of the most provocative and iconoclastic minds of his generation.

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.

Afghan-American journalist Fariba Nawa delivers a revealing and deeply personal exploration of Afghanistan and the drug trade which rules the country, from corrupt officials to warlords and child brides and beyond.

As the head of Open Learning at MIT, renowned professor Sanjay Sarma has a daunting job description: to fling open the doors of the MIT experience for the benefit of the wider world. But if you're going to undertake such an ambitious project, you first have to ask: How do we learn? What are the most effective ways of educating? And how can the science of learning transform education to unlock our potential, as individuals and across society?

Unlock the full potential of data science with "Mastering Data Science with R: Expert Level Insights and Practices." Designed for experienced R users and data scientists, this comprehensive guide delves deep into cutting-edge algorithms and advanced methodologies, propelling you from proficient to expert level. Inside, you'll find: - Advanced Statistical Learning: Master complex regression models, generalized additive models, survival analysis, and mixed-effects models. - Machine Learning Mastery: Explore ensemble methods, neural networks, reinforcement learning, and sophisticated ...

At a time when we are all more rudderless than ever, we look for the very best teachers and mentors to guide us. In Fully Alive, an unusual and gripping memoir, Timothy Shriver shows how his teachers have been the world's most forgotten minority: people with intellectual disabilities. In these pages we meet the individuals who helped him come of age and find a deeper and more meaningful way to see the world.

Discover the powerful way to transform your relationships with friends, loved ones, and even coworkers, with proven strategies that you can put to work immediately on improving the way you communicate with anyone in any environment.

Dr. Barbara Oakley and Olav Schewe have both struggled in the past with their learning. But they have found techniques to help them master any material. Building on insights from neuroscience and cognitive psychology, they give you a crash course to improve your ability to learn, no matter what the subject is.

Thirty years in New York City's public schools led John Gatto to the sad conclusion that compulsory schooling does little but teach young people to follow orders like cogs in an industrial machine. With over 100,000 copies in print since its original publication in 2002, this book is collection of essays and speeches and includes a describes the wide-spread impact of the book and Gatto's "guerrilla teaching". John Gatto was a teacher in New York City's public schools for over 30 years and was a New York State Teacher of the Year.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Learn Linux Quickly takes you from your very first terminal keystrokes to writing full programs in Bash, the most popular Linux shell (or command line). Along the way, you'll learn the timeless skills handed down by generations of experienced, mouse-shunning gurus: file navigation, environment configuration, command chaining, pattern matching, and more. In addition to that practical knowledge, we reveal the philosophy behind these tools and the rich heritage that your desktop Linux machine has inherited from Unix mainframes of yore.

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.

Is a vegan diet healthier? Should I try going low carb? Is it always a bad idea to skip a meal? Are superfoods all they're cracked up to be? Is fat still bad for you? Can I eat to improve my chances of conceiving? Recognizing that there is no one-size-fits-all when it comes to nutrition, this ground-breaking audiobook has the answers to all your food-related questions, covering every conceivable topic - from gut bacteria to weight management, to heart health and immune support, to vegan diets and intermittent fasting, and everything in between.

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system - one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

Unravel the secrets of the AI revolution in just 7 days, even if you've never written a line of code! Do terms like "Machine Learning" or "Neural Networks" confuse you? Eager to understand AI but unsure where to start? You're not alone. Many believe mastering AI is only for tech experts. But here's the truth: Anyone can learn AI, and this guide shows you how!

Getting into a top-ranked college has never seemed more impossible, with acceptance rates at some elite universities dipping into the single digits. In Who Gets in and Why, journalist and higher education expert Jeffrey Selingo dispels entrenched notions of how to compete and win at the admissions game and reveals that teenagers and parents have much to gain by broadening their notion of what qualifies as a "good college". Hint: It's not all about the sticker on the car window.

Rich tasks, collaborative work, number talks, problem-based learning, direct instruction…with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school.