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Machine Learning: The Complete Guide

Small book cover: Machine Learning: The Complete Guide

Machine Learning: The Complete Guide

Publisher: Wikipedia

Description:
Contents: Introduction and Main Principles; Background and Preliminaries; Knowledge discovery in Databases; Reasoning; Search Methods; Statistics; Main Learning Paradigms; Classification Tasks; Online Learning; Semi-supervised learning; Lazy learning and nearest neighbors; Decision Trees; Linear Classifiers; Statistical classification; Evaluation of Classification Models; Features Selection and Features Extraction; Clustering; etc.

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