Machine Learning

Released on by Steven W. Knox
preview-18

  • Machine Learning Book Detail

  • Author : Steven W. Knox
  • Release Date : 2018-04-17
  • Publisher : John Wiley & Sons
  • Genre : Computers
  • Pages : 357
  • ISBN 13 : 1119439191
  • File Size : 31,31 MB
DOWNLOAD BOOK

Machine Learning by Steven W. Knox PDF Summary

Book Description: AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource: Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods Presents R source code which shows how to apply and interpret many of the techniques covered Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions Contains useful information for effectively communicating with clients A volume in the popular Wiley Series in Probability and Statistics, Machine Learning: a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning. STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.

Disclaimer: www.yourbookbest.com does not own Machine Learning books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

A Concise Introduction to Machine Learning

A Concise Introduction to Machine Learning

File Size : 93,93 MB
Total View : 6121 Views
DOWNLOAD

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted

Machine Learning

Machine Learning

File Size : 97,97 MB
Total View : 5018 Views
DOWNLOAD

AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019 Association of American Publis

Machine Learning Fundamentals

Machine Learning Fundamentals

File Size : 75,75 MB
Total View : 5504 Views
DOWNLOAD

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.

Introduction to Machine Learning

Introduction to Machine Learning

File Size : 67,67 MB
Total View : 5116 Views
DOWNLOAD

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa

Introduction to Deep Learning

Introduction to Deep Learning

File Size : 52,52 MB
Total View : 8828 Views
DOWNLOAD

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing task