A concise introduction to machine learning

✍ Scribed by Faul, Anita C

Publisher: CRC Press
Year: 2020
Tongue: English
Leaves: 335
Series: Chapman & Hall/CRC machine learning & pattern recognition
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"--;Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Clustering -- Dimensionality reduction -- Regression -- Feature learning

✦ Table of Contents

Introduction --
Probability theory --
Sampling --
Linear classification --
Non-linear classification --
Clustering --
Dimensionality reduction --
Regression --
Feature learning

✦ Subjects

Apprentissage automatique;Machine learning;Textbooks;Machine learning -- Textbooks;Apprentissage automatique -- Manuels d'enseignement supérieur

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