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Category : Education
Languages : en
Pages : 384
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Book Description
Author: Simon Rogers
Publisher: CRC Press
ISBN: 1498738567
Category : Business & Economics
Languages : en
Pages : 346
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Book Description
"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." —Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." —Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." —David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." —Guangzhi Qu, Oakland University, Rochester, Michigan, USA
Author:
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ISBN:
Category : Education
Languages : en
Pages : 384
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Book Description
Author: Robert MacIntosh
Publisher: Goodfellow Publishers Ltd
ISBN: 1910158496
Category : Business & Economics
Languages : en
Pages : 241
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Book Description
Covering the major management disciplines, Introducing Management in a Global Context provides an introductory overview of key topic areas and to glimpse the latest research in domains such as strategy, technology and change, economics and development, politics and the social world, marketing, ethics and corporate decision making.
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Category : English literature
Languages : en
Pages : 516
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Category : Radio addresses, debates, etc
Languages : en
Pages : 1172
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Author:
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ISBN:
Category : Education
Languages : en
Pages : 1072
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Author:
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ISBN:
Category : Education
Languages : en
Pages : 834
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Category :
Languages : en
Pages : 636
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Category : Bibliography
Languages : en
Pages : 730
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Book Description
Author: Brandon C. Look
Publisher: Oxford University Press
ISBN: 0199606366
Category : Philosophy
Languages : en
Pages : 403
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Book Description
Although it is common to see Kant's philosophy as at its core a reaction to (and partial rejection of) the dogmatism and rationalism of Leibniz, Wolff, and their followers, it is surprising how little detailed and critical study there has been of the relation between Leibniz and Kant. How did Kant understand Leibniz's philosophy? Did he correctly understand Leibniz's philosophy? Since only a portion of Leibniz's philosophical writings were published prior to Kant's critical period, is there a "true Leibniz" that Kant did not know? Are all of Kant's criticisms of Leibniz in particular and Leibnizian rationalism in general justified? Or does Leibniz have an answer to Kant's philosophy? Moreover, how should we understand the reception of Leibniz's philosophy in 18th-century Enlightenment Germany? Leibniz and Kant seeks to examine the relation between Leibniz and Kant by collecting essays written by some of the leading scholars of the history of modern philosophy, all of whom have in common a deep knowledge of both philosophers. This anthology further aims to create a dialogue between scholars of early modern philosophy and Kantians and to fill a lacuna in historical and philosophical scholarship. The essays contained here address fundamental questions of metaphysics, epistemology, and philosophical theology in Leibniz and Kant and address Kant's understanding and interpretation of his philosophical predecessor.
