A Concise Introduction To Machine Learning

DOWNLOAD

Download A Concise Introduction To Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Concise Introduction To Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

A Concise Introduction To Machine Learning

DOWNLOAD
Author : A.C. Faul
language : en
Publisher: CRC Press
Release Date : 2019-08-01

A Concise Introduction To Machine Learning written by A.C. Faul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Business & Economics categories.

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. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the commonalities, and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques. The author's webpage for the book can be accessed here.

Machine Learning

DOWNLOAD
Author : Steven W. Knox
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-15

Machine Learning written by Steven W. Knox and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-15 with Computers categories.

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.

Machine Learning Fundamentals

DOWNLOAD
Author : Hui Jiang
language : en
Publisher: Cambridge University Press
Release Date : 2021-11-25

Machine Learning Fundamentals written by Hui Jiang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-25 with Computers categories.

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

Introduction To Machine Learning

DOWNLOAD
Author : Ethem Alpaydin
language : en
Publisher: MIT Press (MA)
Release Date : 2010

Introduction To Machine Learning written by Ethem Alpaydin and has been published by MIT Press (MA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.

A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions.

Machine Learning

DOWNLOAD
Author : Jennifer Grange
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-03-24

Machine Learning written by Jennifer Grange and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-24 with categories.

Do you understand the difference between supervised and unsupervised learning algorithms? Is machine learning something that will affect you at work in the near future? Would you like to be able to learn about this quickly, in a simple and concise way? There is a growing number of people who are seeking to understand neural networks and what powers them up. Some of the world's biggest companies are using machine learning techniques to administer their tasks in a way that is both effective and professional and if you want to learn more about it then this book is for you. Suitable for newcomers, Machine Learning: A Simple, Concise & Complete Introduction to Machine Learning for Beginners, comprises a 2-book bundle which provides in-depth knowledge of the Supervised and Unsupervised Learning Algorithms which play such a big part and specifically: - Supervised learning - Semi-supervised learning - Learning to learn - Transduction - Codes used to create algorithmic functions - How neural networks make decisions using decision trees - Learning that reinforces Inside you will find two great titles, Machine Learning for Beginners and Machine Learning for Absolute Beginners, both written in a clear, concise and easy-to-follow style, these books take what seems to be a complex subject at first and simplify it into basic layman's terms, so that it becomes an easy read, even if you are a complete novice. Get yourself a copy of Machine Learning today. It will enhance your understanding and provide you with everything you'll need to expand your knowledge of this fascinating subject!

Advanced Signal Processing A Concise Guide

DOWNLOAD
Author : Amir-Homayoon Najmi
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-08-28

Advanced Signal Processing A Concise Guide written by Amir-Homayoon Najmi and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with Technology & Engineering categories.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. This text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series and image classification. Coverage includes: Mathematical structures of signal spaces and matrix factorizations linear time-invariant systems and transforms Least squares filters Random variables, estimation theory, and random processes Spectral estimation and autoregressive signal models linear prediction and adaptive filters Optimal processing of linear arrays Neural networks

A Brief Introduction To Machine Learning For Engineers

DOWNLOAD
Author : Osvaldo Simeone
language : en
Publisher:
Release Date : 2018-08-14

A Brief Introduction To Machine Learning For Engineers written by Osvaldo Simeone and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-14 with Technology & Engineering categories.

There is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used in their everyday work. This presents the problem of where the engineer should start. The answer is often "for a general, but slightly outdated introduction, read this book; for a detailed survey of methods based on probabilistic models, check this reference; to learn about statistical learning, this text is useful" and so on. This monograph provides the starting point to the literature that every engineer new to machine learning needs. It offers a basic and compact reference that describes key ideas and principles in simple terms and within a unified treatment, encompassing recent developments and pointers to the literature for further study. A Brief Introduction to Machine Learning for Engineers is the entry point to machine learning for students, practitioners, and researchers with an engineering background in probability and linear algebra.

Achievements And Trends In Material Forming

DOWNLOAD
Author : Gabriela Vincze
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2022-07-22

Achievements And Trends In Material Forming written by Gabriela Vincze and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-22 with Computers categories.

Peer-reviewed extended papers selected from the 25th International Conference on Material Forming (ESAFORM 2022) Peer-reviewed extended papers selected from the 25th International Conference on Material Forming (ESAFORM 2022), April 27-29, 2022, Portugal

A Concise Guide To Psycholinguistics

DOWNLOAD
Author : Stanisław Puppel
language : en
Publisher:
Release Date : 2001

A Concise Guide To Psycholinguistics written by Stanisław Puppel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Language Arts & Disciplines categories.

Machine Learning Neural And Statistical Classification

DOWNLOAD
Author : Donald Michie
language : en
Publisher: Prentice Hall
Release Date : 1994

Machine Learning Neural And Statistical Classification written by Donald Michie and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.