Learning Science

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.

At thirty years old, Gabriel Wyner speaks six languages fluently. He didn’t learn them in school—who does? Rather, he learned them in the past few years, working on his own and practicing on the subway, using simple techniques and free online resources—and here he wants to show others what he’s discovered. This is brain hacking at its most exciting, taking what we know about neuroscience and linguistics and using it to create the most efficient and enjoyable way to learn a foreign language in the spare minutes of your day.

Many of us know we're putting too much pressure on our kids - and on ourselves - but how do we get off this crazy train? We want our children to succeed, to be their best, and to do their best, but what if they are not on board? A few years ago, Ned Johnson and Bill Stixrud started noticing the same problem from different angles: even high-performing kids were coming to them acutely stressed and lacking any real motivation. Many complained that they had no real control over their lives.

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.

When 12-year-old twins John and Philippa get their wisdom teeth, they suddenly have the power to grant wishes and make things disappear. They are genies! Quickly, they learn to control their powers just before they embark on a dangerous quest that will take them into the tomb of an ancient pharaoh. Along the way, the must confront Iblis, the most evil genie in the universe! This fast-paced and funny fantasy is the first children's novel from critically acclaimed thriller writer P.B. Kerr.

What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms - places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at 30 different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule.

Leonard Moore has been teaching Black history for 25 years, mostly to White people. Drawing on decades of experience in the classroom and on college campuses throughout the South, as well as on his own personal history, Moore illustrates how an understanding of Black history is necessary for everyone. With Teaching Black History to White People, which is “part memoir, part Black history, part pedagogy, and part how-to guide”, Moore delivers an accessible and engaging primer on the Black experience in America.

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

What skills do you need to succeed today? How can you make better choices? In today's fast world, it's important to have certain skills for success. With so much fake news and information everywhere, critical thinking and logic are crucial. These skills help us think well and make good decisions. They help us understand why things are how they are, figure out what influences them, and come up with ways to make things better. One of the reasons most of us fall short in thinking critically is that our educational system doesn't teach critical thinking.

Regardless of where in the world you are from, this audiobook will help you to pass your Canadian Citizenship exam faster, and with more confidence—on your first attempt. If you want to get your Canadian passport and pass the examination with ease, then listen to this audiobook now!

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

The true story of a young teacher attempting to change lives in a troubled educational system. According to Ilana Garon, popular books and movies are inundated with the myth of the "hero teacher" - the one who charges headfirst into dysfunctional inner-city schools like a firefighter into an inferno, bringing the student victims to safety through a combination of charisma and innate righteousness. The students are then "saved" by the teacher’s idealism, empathy, and faith. This is not that type of book....

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.

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.

This book walks you through the "need-to-know" aspects of artificial intelligence, including natural language processing, speech recognition, and the power of machine learning to show you how to make the most of this technology in a practical, tactical way. Case studies show how real-world companies are taking the next leap forward. Artificial intelligence and machine learning provide a data-driven basis for more robust and intensely-targeted marketing strategies - and companies that effectively utilize these latest tools will reap the benefit in the marketplace.

First published in Portuguese in 1968, Pedagogy of the Oppressed was translated and published in English in 1970. Paulo Freire's work has helped to empower countless people throughout the world and has taken on special urgency in the United States and Western Europe, where the creation of a permanent underclass among the underprivileged and minorities in cities and urban centers is ongoing. This 50th anniversary edition includes an updated introduction by Donaldo Macedo, a new afterword by Ira Shor, and many inspirational interviews.

This detailed and persuasive study by the author of The Patton Papers was described by Patton's daughter Ruth as "an extraordinary book". It is widely considered the best biography ever written of the General, an American hero as compelling as he was complex.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Coming to the aid of a wounded whale, Kit and Nita are plunged into deep wizardry. The whale is a wizard, and she enlists Kit and Nita in battle against the sinister Lone Power. Becoming whales themselves, Nita and Kit join in an ancient ritual performed by whales, dolphins, and a single fearsome shark. But which poses more of a danger: the Lone Power, or ed'Rashtekaresket, the enormous shark as old as the sea?

Each year, teachers, administrators, and parents face a barrage of new education software, games, workbooks, and professional development programs purporting to be "based on the latest research." While some of these products are rooted in solid science, the research behind many others is grossly exaggerated. This book, written by a top thought leader, helps everyday teachers, administrators, and family members - who don't have years of statistics courses under their belts - separate the wheat from the chaff....