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Learning in the Fast Lane
"More than three million high-school students take five million Advanced Placement exams each May, yet remarkably little is known about how this sixty-year-old, privately-run program, has become one of U.S. education's greatest successes. From its mid-century origin as a tiny option for privileged kids from posh schools, AP has also emerged as a booster rocket into college for hundreds of thousands of disadvantaged youngsters. It challenges smart kids, affects school ratings, affords rewarding classroom challenges to great teachers, tunes up entire schools, and draws vast support from philanthropists, education reformers and policymakers. AP stands as America's foremost source of college-lev...
Deep Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concep...
Probabilistic Machine Learning
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Advanced Macroeconomics
Macroeconomic policy is one of the most important policy domains, and the tools of macroeconomics are among the most valuable for policy makers. Yet there has been, up to now, a wide gulf between the level at which macroeconomics is taught at the undergraduate level and the level at which it is practiced. At the same time, doctoral-level textbooks are usually not targeted at a policy audience, making advanced macroeconomics less accessible to current and aspiring practitioners. This book, born out of the Masters course the authors taught for many years at the Harvard Kennedy School, fills this gap. It introduces the tools of dynamic optimization in the context of economic growth, and then ap...
Developing the Higher Education Curriculum
A complementary volume to Dilly Fung’s A Connected Curriculum for Higher Education (2017), this book explores ‘research-based education’ as applied in practice within the higher education sector. A collection of 15 chapters followed by illustrative vignettes, it showcases approaches to engaging students actively with research and enquiry across disciplines. It begins with one institution’s creative approach to research-based education – UCL’s Connected Curriculum, a conceptual framework for integrating research-based education into all taught programmes of study – and branches out to show how aspects of the framework can apply to practice across a variety of institutions in a r...
Machine Learning
A concise overview of machine learning—computer programs that learn from data—which underlies applications that include recommendation systems, face recognition, and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as “Big Data” has gotten bigger,...
The Learning Leader
"We can't do that in our school district." "I don't have time to add that to my curriculum." "We're fighting against impossible odds with these students." Sound familiar? School improvement can often feel like a losing battle, but it doesn't have to be. In this fully revised and updated second edition of The Learning Leader, Douglas B. Reeves helps leadership teams go beyond excuses to capitalize on their strengths, reduce their weaknesses, and reset their mindset and priorities to achieve unprecedented success. A critical key is recognizing student achievement as more than just a set of test scores. Reeves asserts that when leaders focus exclusively on results, they fail to measure and unde...
Books, Media and the Internet
As editors of Books, Media, and the Internet, David Booth, Carol Jupiter, and Shelley S. Peterson present the work of colleagues from the conference “A Place for Children’s Literature in the New Literacies Classrooms,’ April 2008. Within these pages, teachers, librarians, and others concerned with literacy will find inspiration and strategies for melding technology and children’s literature from practitioners who have found effective ways to engage young people with text, both in print and on screen. The contributors to this anthology include classroom teachers, librarians, university educators, and journalists. They speak not only to the technologically capable and media-savvy teach...
Pressing Forward
Pressing Forward: Increasing and Expanding Rigor and Relevance in America’s High Schools is organized to place secondary education, specifically the goals of preparing young adults to be college and career ready, in contemporary perspective, emphasizing the changing global economy and trends in policy and practice. High school students must be equipped with tools they need during and beyond high school for mapping their futures in a global and flat world that demands workers prepared to take up 21st century careers. Following Thomas Freidman and other writers on the topic, this book takes as its core premise that the world has been irrevocably altered by technology and that technology take...
Machine Learning
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developm...
