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
No experience required
Course Lessons
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
Taught By The Best
Michael Littman
Instructor
Charles Isbell
Instructor
Pushkar Kolhe
Instructor
Taught By The Best
Michael Littman
Instructor
Charles Isbell
Instructor
Pushkar Kolhe
Instructor
Get Started Today
Machine Learning