Foundations of Machine Learning, 2nd Edition



Bookstore > Books > Foundations of Machine Learning, 2nd Edition

Foundations of Machine Learning, 2nd Edition

Free Download
Buy
Preview
Amazon$68.05
eBay$54.38
update prices
Price$54.38 - $68.05
eBookFree
Rating
AuthorsMehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
PublisherSelf-publishing
Published2018
Pages505
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-100262039400
ISBN-139780262039406
EBook Hardcover Paperback

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review.

This 2nd edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.





4 5 87

Similar Books


Fundamentals of Deep Learning, 2nd Edition

Fundamentals of Deep Learning, 2nd Edition

by Nithin Buduma, Nikhil Buduma, Joe Papa

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a Ph...

Price:  $52.95  |  Publisher:  O'Reilly Media  |  Release:  2022

Python Machine Learning, 3rd Edition

Python Machine Learning, 3rd Edition

by Sebastian Raschka, Vahid Mirjalili

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2019

Mastering Azure Machine Learning, 2nd Edition

Mastering Azure Machine Learning, 2nd Edition

by Christoph Korner, Marcel Alsdorf

Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logg...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2022

Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition

Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition

by Roger Barga, Valentine Fontama, Wee Hyong Tok

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability...

Price:  $38.04  |  Publisher:  Apress  |  Release:  2015

An Introduction to Machine Learning, 2nd Edition

An Introduction to Machine Learning, 2nd Edition

by Miroslav Kubat

This book 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, n...

Price:  $65.87  |  Publisher:  Springer  |  Release:  2017

Mastering Machine Learning Algorithms, 2nd Edition

Mastering Machine Learning Algorithms, 2nd Edition

by Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, 2nd Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervi...

Price:  $40.49  |  Publisher:  Packt Publishing  |  Release:  2020

Machine Learning Using R, 2nd Edition

Machine Learning Using R, 2nd Edition

by Karthik Ramasubramanian, Abhishek Singh

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if y...

Price:  $31.74  |  Publisher:  Apress  |  Release:  2019

Quantum Machine Learning: An Applied Approach

Quantum Machine Learning: An Applied Approach

by Santanu Ganguly

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learnin...

Price:  $48.75  |  Publisher:  Apress  |  Release:  2021