Table of Content

Authorship

Foreword

Introduction

Core Concepts

Cross-Validation
Linear Regression
Overfitting and Underfitting
Regularization

Supervised Learning

Logistic Regression
Naive Bayes Classification
Decision Trees
k-Nearest Neighbors
Linear Support Vector Machines

Unsupervised Learning

Clustering
Principal Component Analysis

Deep Learning

Multi-layer Perceptron
Convolutional Neural Networks
Autoencoders

Document Credentials

LICENSE

Machine-Learning-Course

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© Copyright 2019, Amirsina Torfi Last updated on True.

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