Learning Science

American Libraries editor in chief Leonard Kniffel offers a compelling collection of interviews with prominent figures--all of whom have special connections to libraries. From President Barack Obama to actress Julie Andrews; from basketball star Kareem Abdul-Jabbar to former First Lady and librarian Laura Bush and many others, stars of literature, politics, entertainment, and the public arena speak with Kniffel about the ways libraries have been critical in their lives.

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.

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.

Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the listener through the essential principles we need in order to derive knowledge from data.

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.

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.

Getting in is only half the battle. The Privileged Poor reveals how - and why - disadvantaged students struggle at elite colleges and explains what schools can do differently if these students are to thrive. The Ivy League looks different than it used to. College presidents and deans of admission have opened their doors - and their coffers - to support a more diverse student body. But is it enough just to admit these students? In The Privileged Poor, Anthony Jack reveals that the struggles of less privileged students continue long after they've arrived on campus.

This metaphysical self-help classic instills happiness within and urges individuals to pursue a content life without sin, boredom, or contempt. Written decades ago with post-war depression in mind, this text has transcended time and continues to give applicable advice for modern-day individuals.

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.

Louis is a Trumpeter Swan, but he has no voice. Leaving his wild and beautiful home, he finds a young human friend, Sam Beaver, who helps him learn to read and write. When he returns to the lake, Louis discovers his education isn't enough: the beautiful swan he loves, Serena, can't read his declarations of love, and he can't trumpet them. Louis' resolution to win the swan of his desire launches him on an adventure that will take him far from home and lead where fate and love have a few surprises in store.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

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.

A survey of the quirks and quandaries of the English language, focusing on our strange and wonderful grammar. Why do we say "I am reading a catalog" instead of "I read a catalog"? Why do we say "do" at all? Is the way we speak a reflection of our cultural values? Delving into these provocative topics and more, Our Magnificent Bastard Tongue distills hundreds of years of fascinating lore into one lively history.

This helpful, plain-English guide provides need-to-know information on how to choose the right system, assure patients of the security of their records, and implement an EHR in such a way that it causes minimal disruption to the daily demands of a hospital or clinic.

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.

The concept of small teaching is simple: Small and strategic changes have enormous power to improve student learning. Instructors face unique and specific challenges when teaching an online course. This book offers small teaching strategies that will positively impact the online classroom.

Take one bored princess. Make her the seventh daughter in a very proper royal family. Have her run away. Add one powerful, fascinating, dangerous dragon. Princess Cimerone has never met anyone (or anything) like the dragon Kazul. But then, she's never met a witch, a jinn, a death-dealing talking bird or a stone prince either. Princess Cimerone ran away to find some excitement. She's found plenty.

In Beyond Good and Evil, Friedrich Nietzsche attacks past philosophers for their alleged lack of critical sense and their blind acceptance of Christian premises in their consideration of morality. The work moves into the realm "beyond good and evil" in the sense of leaving behind the traditional morality, which Nietzsche subjects to a destructive critique, in favor of what he regards as an affirmative approach that fearlessly confronts the contextual nature of knowledge.

Sparked by observing teachers struggle to implement rich mathematics tasks to engage students in deep thinking, Peter Liljedahl has translated his 15 years of research into this practical guide on how to move toward a thinking classroom. Building Thinking Classrooms in Mathematics, Grades K-12 helps teachers implement 14 optimal practices for thinking that create an ideal setting for deep mathematics learning to occur.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.