Mathematics

Probablity

Courses

1. Prof. Krishna Jagannathan’s NPTEL course
2. Prof. John Tsitsiklis’ MIT OCW Probablistic Systems Analysis and Applied Probability
3. Convex Optimization by Stephen P. Boyd

Books

1. Grimmett and Stirzaker
2. John Tsitsiklis’s selected study material from his book
3. Convex Optimization

Notes

1. Probability theory, stochastic processes and mathematical statistics notes by Gordan Zitkovic

Measure Theory

1. MATH 587/589

Linear Algebra

Courses

1. Gilbert Strang’s Lecture Series
2. Fastai’s Numerical Linear Algebra Course
3. 3blue1brown’s Visual Essence of Linear Algebra

Books

1. Gilbert Strang’s Introduction to Linear Algebra

Multi-variable Calculus

Courses

1. Khan Academy’s Multi-variable Calculus
2. Multi-variable Calculus by Prof. Denis Aurox

Robotics

Courses

1. Math Fundamentals for Robotics by Michael Erdmann
2. Modern Robotics by Northwestern University also available on Youtube

Machine Learning

1. Maths For Machine Learning