Learning Science

In 1974, a federal judge ruled that Boston’s public schools were unconstitutionally segregated. The solution? A controversial experiment in desegregation known as “busing,” which would take children from majority-white schools and bus them to predominantly Black schools, and vice versa. In this dramatic audiobook full of surprising twists and fascinating characters, journalist Leon Neyfakh unpacks the history of busing in Boston and brings to life the human stories behind the headlines by talking to the people who saw what happened with their own eyes.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Humanity has won a great victory, shattering the alien fleet that would have destroyed the Solar Union and exterminated the human race. But the war is not yet over. The Tokomak still have a huge fleet and an immense industrial base, large enough to crush the human race once and for all if they have time to bring it into action. The war may still be lost.

Authored by Noel Benford, a seasoned Certified Flight Instructor from New York, this guide gives you the most common questions students have been asked during recent exams. Benford shares his extensive experience and insights giving you a significant advantage, ensuring your thoroughly prepared for the exam.

In Poor Queer Studies, Matt Brim shifts queer studies away from its familiar sites of elite education toward poor and working-class people, places, and pedagogies. Brim shows how queer studies also takes place beyond the halls of flagship institutions: in night school; after a three-hour commute; in overflowing classrooms at no-name colleges; with no research budget; without access to decent food; with kids in tow; in a state of homelessness.

Published in 1762, it had a profound impact on the approach to the education and upbringing of a child, through infancy, childhood, adolescence and into adulthood. This was partly fuelled by the format – for Rousseau presents before us the boy Emile, taking him through the various stages of life, and as Emile becomes a young man, introducing a female counterpart, Sophie. This device personalises what would otherwise be a more formal philosophical presentation.

Janet Malcolm delves into the psychopathology of journalism using a strange and unprecedented lawsuit as her larger-than-life example: the lawsuit of Jeffrey MacDonald, a convicted murderer, against Joe McGinniss, the author of Fatal Vision. Examining the always uneasy, sometimes tragic relationship that exists between journalist and subject, Malcolm finds that neither journalist nor subject can avoid the moral impasse that is built into the journalistic situation.

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.

Words on the Move opens our eyes to the surprising backstories to the words and expressions we use every day. Did you know that silly once meant "blessed"? Or that ought was the original past tense of owe? Or that the suffix -ly in adverbs is actually a remnant of the word like? And have you ever wondered why some people from New Orleans sound as if they come from Brooklyn?

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

As MacArthur award-winning educator Lisa Delpit reminds us - and as all research shows - there is no achievement gap at birth. In her long-awaited second book, Delpit presents a striking picture of the elements of contemporary public education that conspire against the prospects for poor children of color, creating a persistent gap in achievement during the school years that has eluded several decades of reform. Delpit reflects on two decades of reform efforts that have still left a generation of poor children of color feeling that higher educational achievement isn't for them.

Eight-year-old Jack, his seven-year-old sister, Annie, and Peanut the mouse ride in a tree house to the Amazon rain forests, where they encounter giant ants, flesh-eating piranhas, hungry crocodiles, and wild jaguars.

When Ralph and his pesky cousins accidentally make a mess at the Mountain View Inn, Ralph decides that he'd better take his motorcycle and leave. He persuades his young pal Ryan to take him to school, where Ralph is an instant hit with Ryan's classmates. But Ralph doesn't like being told what to do. Worse than that, his precious motorcycle gets broken. Is Ralph stuck at school forever?

Jadie never spoke. She never laughed, or cried, or uttered any sound. Despite efforts to reach her, Jadie remained locked in her own troubled world - until one remarkable teacher persuaded her to break her self-imposed silence. Nothing in all of Torey Hayden's experience could have prepared her for the shock of what Jadie told her - a story too horrendous for Torey's professional colleagues to acknowledge.

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 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?

Igraine, who turns 12 tomorrow, dreams of becoming a famous knight. But today, like most days, life at the family castle remains...rather boring.

The students in class 6B become nervous when their teacher receives an anonymous note claiming someone in the room is a witch. For in this society, witches are outlawed, whether they are good or bad. In fact, witches are burned at the stake, because that's the law.

Artificial intelligence can answer almost anything. The tragedy is that people have nothing to ask. Surrounded by infinite knowledge, we shrink our curiosity to absurdities: “Do you have legs?” This book is about that paradox. Not about machines, but about us—about how to learn again, how to build methods of thinking, how to cultivate curiosity before it disappears.

In the wake of white nationalist attacks, the ongoing debate over reparations, and the controversy surrounding Confederate monuments and the contested memories they evoke, Susan Neiman's Learning from the Germans delivers an urgently needed perspective on how a country can come to terms with its historical wrongdoings. Neiman is a white woman who came of age in the civil rights-era South and a Jewish woman who has spent much of her adult life in Berlin.