An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

When the Book of Abraham was first published to the world in 1842, it was published as "a translation of some ancient records that have fallen into [Joseph Smith's] hands from the catacombs of Egypt, purporting to be the writings of Abraham while he was in Egypt, called 'The Book of Abraham, Written by his Own Hand, upon Papyrus.'" The resultant record was thus connected with the papyri once owned by Joseph Smith, though which papyrus of the four or five in his possession was never specified. Those papyri would likely interest only a few specialists--were the papyri not bound up in a religious controversy. This controversy covers a number of interrelated issues, and an even greater number of theories have been put forward about these issues. Given the amount of information available, the various theories, and the variety of fields of study the subject requires, misunderstandings and misinformation often prevail. The goal with the Introduction to the Book of Abraham is to make reliable information about the Book of Abraham accessible to the general reader.

Slavoj Žižek, a leading intellectual in the new social movements that are sweeping Eastern Europe, provides a virtuoso reading of Jacques Lacan. Žižek inverts current pedagogical strategies to explain the difficult philosophical underpinnings of the French theoretician and practician who revolutionized our view of psychoanalysis. He approaches Lacan through the motifs and works of contemporary popular culture, from Hitchcock's Vertigo to Stephen King's Pet Sematary, from McCullough's An Indecent Obsession to Romero's Return of the Living Dead—a strategy of "looking awry" that recalls the exhilarating and vital experience of Lacan. Žižek discovers fundamental Lacanian categories the triad Imaginary/Symbolic/Real, the object small a, the opposition of drive and desire, the split subject—at work in horror fiction, in detective thrillers, in romances, in the mass media's perception of ecological crisis, and, above all, in Alfred Hitchcock's films. The playfulness of Žižek's text, however, is entirely different from that associated with the deconstructive approach made famous by Derrida. By clarifying what Lacan is saying as well as what he is not saying, Žižek is uniquely able to distinguish Lacan from the poststructuralists who so often claim him.

This clear, well illustrated text takes the reader through the basics of film analysis, drawing on a wide range of film for discussion. Questions of genre and the contexts and meanings of film are considered.

This new edition of The Caucasus is a thorough update of an essential guide that has introduced thousands of readers to a complex region. Armenia, Azerbaijan, Georgia and the break-away territories that have tried to split away from them constitute one of the most diverse and challenging regions on earth, impressing the visitor with their multi-layered history and ethnic complexity. Over the last few years, the South Caucasus region has captured international attention again because of disputes between the West and Russia, its unresolved conflicts, and its role as an energy transport corridor to Europe. The Caucasus gives the reader a historical overview and an authoritative guide to the three conflicts that have blighted the region. Thomas de Waal tells the story of the "Five-Day War" between Georgia and Russia and recent political upheavals in all three countries. He also finds time to tell the reader about Georgian wine, Baku jazz and how the coast of Abkhazia was known as "Soviet Florida." Short, stimulating and rich in detail, The Caucasus is the perfect guide to this fascinating and little-understood region.