MLDSS

I have organized and led a machine learning and data science study group since the fall of 2013.

MLDSS Season 11 (Information Theory, Inference, and Learning Algorithms)
- 2019.10 - Present
- Information Theory, Inference, and Learning Algorithms
MLDSS Season 10 (Gaussian Processes for Machine Learning)
- 2019.6 - 2019.10
- Gaussian Processes for Machine Learning
MLDSS Season 9 (Foundations of Data Science)
- 2018.8 - 2019.6
- Foundations of Data Science
MLDSS Season 8 (Deep Learning)
- 2017.2 - 2018.7
- Deep Learning
MLDSS Season 7 (Online Convex Optimization)
- 2016.9 - 2017.2
- Introduction to Online Convex Optimization
MLDSS Season 6 (Reinforcement Learning)
- 2016.3 - 2016.8
- Advanced Topics: RL
- Sutton & Barto Book: Reinforcement Learning: An Introduction
MLDSS Season 5 (Natural Language Processing)
- 2015.8 - 2016.3
- Speech and Language Processing
- An Introduction to Conditional Random Fields
- Foundations of Data Science Chapter 3
- Latent Dirichlet Allocation
MLDSS Season 4 (Deep Learning)
- 2015.2 - 2015.8
- Deep Learning Tutorials
MLDSS Season 3 (Deep Dive into Machine Learning)
- 2014.4 - 2015.2
- Machine Learning: A Probabilistic Perspective
MLDSS Season 2 (Introduction to Machine Learning)
- 2013.12 - 2014.4
- Machine Learning in Action
MLDSS Season 1 (Introduction to Machine Learning)
- 2013.9 - 2013.12
- Programming Collective Intelligence (This book is not recommended.)
- [Notes]