Learning Science

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.

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.

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.

We’ve never been taught how to learn. This book is the key to reversing all the misconceptions you have, and make learning fun again. Smart Learning is not a textbook - it’s a guidebook for your journey in learning. It will show you the most effective methods, the pitfalls we must avoid, and the habits we must cultivate.

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Have you ever wondered what it takes to pass one of the most challenging engineering exams on your first attempt? Learn to turn complex principles into clear, practical knowledge and gain the confidence to tackle any question.

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.

The Unteachables examines the overrepresentation of Black students in special education over the course of the twentieth century. As African American children integrated predominantly white schools, many were disproportionately labeled educable mentally retarded (EMR), learning disabled (LD), and emotionally behavioral disordered (EBD). Keith A. Mayes charts the evolution of disability categories and how these labels kept Black learners segregated in American classrooms.

In July 1995, San Jose Mercury-News reporter Gary Webb found the Big One - the blockbuster story every journalist secretly dreams about - without even looking for it. A simple phone call concerning an unexceptional pending drug trial turned into a massive conspiracy involving the Nicaraguan Contra rebels, L.A. and Bay Area crack cocaine dealers, and the Central Intelligence Agency.

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

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.

There's nothing more frustrating than watching your bright, talented son or daughter struggle with everyday tasks like finishing homework, putting away toys, or following instructions at school. Your "smart but scattered" child might also have trouble coping with disappointment or managing anger. Drs. Peg Dawson and Richard Guare have great news: There's a lot you can do to help.

In this widely acclaimed memoir ("Riveting, moving...a wonderful book" The New York Times Book Review), Katharine Graham tells her story—one that is extraordinary both for the events it encompasses and for the courage, candor, and dignity of its telling.

At the end of 2008, Ford Motor Company was just months away from running out of cash. With the auto industry careening toward ruin, Congress offered all three Detroit automakers a bailout. General Motors and Chrysler grabbed the taxpayer lifeline, but Ford decided to save itself. Under the leadership of charismatic CEO Alan Mulally, Ford had already put together a bold plan to unify its divided global operations, transform its lackluster product lineup, and overcome a dys­functional culture of infighting, backstabbing, and excuses.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

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.

In this follow-up to Cultivating Genius, Dr. Gholdy Muhammad adds a fifth pursuit—joy—to her groundbreaking instructional model. She defines joy as more than celebration and happiness, but also as wellness, beauty, healing, and justice for oneself and across humanity. She shows how teaching from cultural and historical realities can enhance our efforts to cultivate identity, skills, intellect, criticality, and—indeed—joy for all students, giving them a powerful purpose to learn and contribute to the world.

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.

Do you ever feel like you're too busy, too stressed, or just too distracted to concentrate and get work done? In Unlimited Memory you'll learn how the world's best memory masters get themselves to concentrate at will, anytime they want. When you can easily focus and concentrate on the task at hand and store and recall useful information, you can easily double your productivity and eliminate wasted time, stress, and mistakes at work. In this book you'll find all the tools, strategies, and techniques you need to improve your memory.

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.