Books & Videos

Table of Contents

Chapter: INTRODUCTION TO MACHINE LEARNING

The Course Overview

03m 1s

The Basics of Machine Learning

06m 8s

Chapter: EXTRACTING FEATURES AND PREPARING THE DATA

Creating Training Data and Extracting Information

06m 18s

Extracting Features

04m 7s

Chapter: CLASSIFIER AND REGRESSION

K-Nearest Neighbors

08m 37s

Logistic Regression

08m 3s

Normal Bayes Classifier

04m 27s

Chapter: DECISION TREES AND SUPPORT VECTOR MACHINES

Decision Trees

10m 12s

Support Vector Machines

12m 2s

Chapter: NEURAL NETWORKS

Artificial Neural Networks

12m 29s

Chapter: UNSUPERVISED LEARNING AND INTRODUCTION TO DEEP LEARNING

Unsupervised Learning

05m 3s

Deep Learning

15m 4s