Machine Learning Notes

Personal experiments and lessons on Machine Learning

My Notes

1. [[Learning Strategies]]
2. [[Bias Variance Trade Off]]
3. [[Probably Approximately Correct (PAC) Learning]]
4. [[VC Dimension]]
5. [[Learning Curves Underfitting vs Overfitting]]
6. [[Bayesian Learning]]
7. [[Maximum Likelihood Estimation (MLE)]]
8. [[Maximum a Posteriori (MAP)]]

Sources

YouTube

• sentdex
• StatQuest

Textbooks

• Deep Learning Book
• Mathematics for Machine Learning
• Green Tea Press
• Linear Algebra Review

Statistics

• Statistics Done Wrong
• Probability and Statistics

Visualizations

• setosa.io
• r2d3

Libraries and Hands on Examples

• Kaggle
• Sci Kit Learn
• Tensor Flow
• Numpy Tutorial
• handson-ml3

Miscelleneous

• New York Fed.