- Andrew Ng ML course: This course helps one enter the Machine Learning world. It is the ABC's of Machine Learning. Covers the following topics:
- Linear and Logistic Regression
- Neural Networks
- Performance evaluation of ML models
- Support Vector Machines
- Dimensionality Reduction, PCA
- Anomaly Detection
- Recommender Systems
- An Introduction to Statistical Learning: This book delves deeper into the concepts taught by Andrew Ng in his Coursera course. A must read. Also check out related course by the authors
- OCDevel Machine Learning guide podcast: These podcast episodes are really helpful if you want to make use of your commute time. Tyler Renelle has done a great job of explaining the intuition behind each ML algorithm.
- Data School scikit-learn videos: Helpful videos to get started with applying your Machine Learning knowledge using scikit-learn.