- From edx.org
Machine Learning Fundamentals

- Self-paced
- Free Access
- Fee-based Certificate
- 10 Sequences
- Introductive Level
- Starts on March 25, 2024
- Ends on July 11, 2024
Course details
Syllabus
- Classification, regression, and conditional probability estimation
- Generative and discriminative models
- Linear models and extensions to nonlinearity using kernel methods
- Ensemble methods: boosting, bagging, random forests
- Representation learning: clustering, dimensionality reduction, autoencoders, deep nets
Prerequisite
Instructors
Sanjoy Dasgupta
Professor of Computer Science and Engineering
UC San Diego
Editor

Platform
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