Machine Learning, Neural and Statistical Classification

Machine Learning, Neural and Statistical Classification
Author :
Publisher : Prentice Hall
Total Pages : 312
Release :
ISBN-10 : UCSD:31822019003581
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Machine Learning, Neural and Statistical Classification by : Donald Michie

Download or read book Machine Learning, Neural and Statistical Classification written by Donald Michie and published by Prentice Hall. This book was released on 1994 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Machine Learning, Neural and Statistical Classification Related Books

Machine Learning, Neural and Statistical Classification
Language: en
Pages: 312
Authors: Donald Michie
Categories: Computers
Type: BOOK - Published: 1994 - Publisher: Prentice Hall

GET EBOOK

Statistical Regression and Classification
Language: en
Pages: 439
Authors: Norman Matloff
Categories: Business & Economics
Type: BOOK - Published: 2017-09-19 - Publisher: CRC Press

GET EBOOK

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre
Statistical and Neural Classifiers
Language: en
Pages: 328
Authors: Sarunas Raudys
Categories: Computers
Type: BOOK - Published: 2001-01-29 - Publisher: Springer Science & Business Media

GET EBOOK

The classification of patterns is an important area of research which is central to all pattern recognition fields, including speech, image, robotics, and data
Statistics for Machine Learning
Language: en
Pages: 438
Authors: Pratap Dangeti
Categories: Computers
Type: BOOK - Published: 2017-07-21 - Publisher: Packt Publishing Ltd

GET EBOOK

Build Machine Learning models with a sound statistical understanding. About This Book Learn about the statistics behind powerful predictive models with p-value,
Computer Systems that Learn
Language: en
Pages: 248
Authors: Sholom M. Weiss
Categories: Computers
Type: BOOK - Published: 1991 - Publisher: Morgan Kaufmann Publishers

GET EBOOK

This text is a practical guide to classification learning systems and their applications, which learn from sample data and make predictions for new cases. The a