Resources
Free Books
- A Course in Machine Learning
- Convex Optimization
- Deep Learning
- Introduction to Applied Linear Algebra
- Mathematical Foundations for Data Analysis
- Mathematics for Machine Learning
- Pattern Recognition and Machine Learning
- The Elements of Statistical Learning
- Undergraduate Fundamentals of Machine Learning
- Understanding Machine Learning: From Theory to Algorithms
- Vector Calculus
Video Lectures
- Applied Machine Learning (Cornell Tech)
- Introduction to Machine Learning (Stanford)
- Machine Learning for Intelligent Systems (Cornell)
- Mathematics for ML: Linear Algebra (Imperial College)
- Mathematics for ML: Multivariate Calculus (Imperial College)
- PyTorch Beginner Series
- Statistical Learning with Python (Stanford)
Papers of Interest
Quick Reference
Mathematics for ML
- Linear Algebra Review and Reference
- Mathematics for Machine Learning
- Probability Review
- Review of Probability Theory