Lesson 1

ML is the ROX

Free# Machine Learning

Course

In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

Last Updated March 4, 2022

Lesson 1

ML is the ROX

Lesson 2

SL 1 - Decision Trees

Lesson 3

SL 2 - Regression & Classification

Lesson 4

SL 3 - Neural Networks

Lesson 5

SL 4 - Instance Based Learning

Lesson 6

SL 5 - Ensemble B&B

Lesson 7

SL 6 - Kernel Methods & SVMs

Lesson 8

SL 7 - Comp Learning Theory

Lesson 9

SL 8 - VC Dimensions

Lesson 10

SL 9 - Bayesian Learning

Lesson 11

SL 10 - Bayesian Inference

Lesson 12

UL 1 - Randomized Optimization

Lesson 13

UL 2 - Clustering

Lesson 14

UL 3 - Feature Selection

Lesson 15

UL 4 - Feature Transformation

Lesson 16

UL 5 - Info Theory

Lesson 17

RL 1 - Markov Decision Processes

Lesson 18

RL 2 - Reinforcement Learning

Lesson 19

RL 3 - Game Theory

Lesson 20

RL 4 - Game Theory Continued

Lesson 21

Outro

Michael Littman

Instructor

Charles Isbell

Instructor

Pushkar Kolhe

Instructor

Michael Littman

Instructor

Charles Isbell

Instructor

Pushkar Kolhe

Instructor

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Machine Learning