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Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
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Book Description
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.
Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617
Get Book Here
Book Description
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.
Author: David Finkelstein
Publisher: Routledge
ISBN: 1134380062
Category : Social Science
Languages : en
Pages : 167
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Book Description
This is a comprehensive introduction to books and print culture which examines the move from the spoken word to written texts, the book as commodity, the power and profile of readers, and the future of the book in an electronic age.
Author: Richard S. Sutton
Publisher: MIT Press
ISBN: 0262352702
Category : Computers
Languages : en
Pages : 549
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Book Description
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.
Author: John Laurence Gee
Publisher:
ISBN: 9781944394066
Category : Mormon Church
Languages : en
Pages :
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Book Description
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.
Author: Steve Tadelis
Publisher: Princeton University Press
ISBN: 0691129088
Category : Business & Economics
Languages : en
Pages : 416
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Book Description
The definitive introduction to game theory This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information. He covers a host of topics, including multistage and repeated games, bargaining theory, auctions, rent-seeking games, mechanism design, signaling games, reputation building, and information transmission games. Unlike other books on game theory, this one begins with the idea of rationality and explores its implications for multiperson decision problems through concepts like dominated strategies and rationalizability. Only then does it present the subject of Nash equilibrium and its derivatives. Game Theory is the ideal textbook for advanced undergraduate and beginning graduate students. Throughout, concepts and methods are explained using real-world examples backed by precise analytic material. The book features many important applications to economics and political science, as well as numerous exercises that focus on how to formalize informal situations and then analyze them. Introduces the core ideas and applications of game theory Covers static and dynamic games, with complete and incomplete information Features a variety of examples, applications, and exercises Topics include repeated games, bargaining, auctions, signaling, reputation, and information transmission Ideal for advanced undergraduate and beginning graduate students Complete solutions available to teachers and selected solutions available to students
Author: Martin Peterson
Publisher: Cambridge University Press
ISBN: 1107151597
Category : Business & Economics
Languages : en
Pages : 351
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Book Description
A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.
Author: Thomas De Waal
Publisher:
ISBN: 0190683082
Category : History
Languages : en
Pages : 313
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Book Description
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.
Author: Robert J. Fogelin
Publisher: Houghton Mifflin Harcourt P
ISBN: 9780155926721
Category : Language Arts & Disciplines
Languages : en
Pages : 452
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Book Description
Author: William H. Phillips
Publisher: Macmillan
ISBN: 0312487258
Category : Language Arts & Disciplines
Languages : en
Pages : 780
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Book Description
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.
Author: Paul Waldau
Publisher: Oxford University Press, USA
ISBN: 0199827036
Category : Law
Languages : en
Pages : 380
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Book Description
The field requires both learning and unlearning to develop forms of critical thinking that are scientifically informed and ethically sensitive.
