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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: 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: 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: 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: Magda Hellinger
Publisher: Simon and Schuster
ISBN: 1982181249
Category : Biography & Autobiography
Languages : en
Pages : 320
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Book Description
The “thought-provoking…must-read” (Ariana Neumann, author of When Time Stopped) memoir by a Holocaust survivor who saved an untold number of lives at Auschwitz through everyday acts of courage and kindness—in the vein of A Bookshop in Berlin and The Nazi Officer’s Wife. In March 1942, twenty-five-year-old kindergarten teacher Magda Hellinger and nearly a thousand other young women were deported as some of the first Jews to be sent to the Auschwitz concentration camp. The SS soon discovered that by putting prisoners in charge of the day-to-day accommodation blocks, they could deflect attention away from themselves. Magda was one such prisoner selected for leadership and put in charge of hundreds of women in the notorious Experimental Block 10. She found herself constantly walking a dangerously fine line: saving lives while avoiding suspicion by the SS and risking execution. Through her inner strength and shrewd survival instincts, she was able to rise above the horror and cruelty of the camps and build pivotal relationships with the women under her watch, and even some of Auschwitz’s most notorious Nazi senior officers. Based on Magda’s personal account and completed by her daughter’s extensive research, this is “an unputdownable account of resilience and the power of compassion” (Booklist) in the face of indescribable evil.
Author: Gianni Vattimo
Publisher: A&C Black
ISBN: 9780485114850
Category : Philosophy
Languages : en
Pages : 294
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Book Description
This renowned introduction - already a standard text in Europe - is translated here for the first time. Vattimo uses Heideggerean and cultural-critical perspectives to reassess the work and thought of Nietzsche.
Author: Barry Ulanov
Publisher: Greenwood Publishing Group
ISBN: 9780837176598
Category : Family & Relationships
Languages : en
Pages : 248
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Book Description
Author: Miroslav Kubat
Publisher: Springer
ISBN: 3319639137
Category : Computers
Languages : en
Pages : 348
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Book Description
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
Author: C. Hassell Bullock
Publisher: Moody Publishers
ISBN: 157567436X
Category : Religion
Languages : en
Pages : 478
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Book Description
The Old Testament prophets spoke to Israel in times of historical and moral crisis. They saw themselves as being a part of a story that God was weaving throughout history--a story of repentance, encouragement, and a coming Messiah. In this updated introductory book, each major and minor prophet and his writing are clustered with the major historical events of their time. Our generational distance from the age of the prophets might seem to be a measureless chasm. Yet we dare not make the mistake of assuming that passing years have rendered irrelevant not only the Old Testament prophets, but also the God who comprehends, spans, and transcends all time. In these pages, C. Hassell Bullock presents a clear picture of some of history's most profound spokesmen--the Old Testament prophets--and the God who shaped them.
