Math & Statistics
The linear algebra, calculus, probability and statistics behind machine learning, explained visually.
Beginner
Start here. No background needed beyond school maths.
There's never been a better time to go into math
A video from 3Blue1Brown on There's never been a better time to go into math. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
3Blue1Brown
Conjugate Priors : Data Science Basics
A video from ritvikmath on Conjugate Priors : Data Science Basics. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
How (and why) to take a logarithm of an image
A video from 3Blue1Brown on How (and why) to take a logarithm of an image. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
3Blue1Brown
Regularization : Data Science Basics
A video from ritvikmath on Regularization : Data Science Basics. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
Reinventing Entropy
A video from 3Blue1Brown on Reinventing Entropy. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
3Blue1Brown
The last IMO problem AI could not solve
A video from 3Blue1Brown on The last IMO problem AI could not solve. A good starting point for Math & Statistics; no prior experience is assumed. It plays here in the portal, and your progress is saved as you watch.
3Blue1Brown
Probability Bootcamp
A compact refresher on probability: random variables, distributions, expectation, Bayes' rule and the central limit theorem, in short, focused videos.
Steve Brunton (University of Washington)
Calculus 1: Full College Course
Limits, derivatives and integrals explained with plenty of worked problems, as taught in a first-year university course.
freeCodeCamp
Essence of Calculus
Animated lessons that make derivatives, integrals and the chain rule intuitive, which is exactly the calculus that gradient descent relies on.
3Blue1Brown
Essence of Linear Algebra
Short animated videos that build a visual understanding of vectors, matrices, determinants and eigenvectors, ideal before any ML course.
3Blue1Brown
Linear Algebra: Full College Course
A complete college-level linear algebra course in a single video, from systems of equations to eigenvalues.
freeCodeCamp
p-values: What They Are and How to Interpret Them
Explains what a p-value actually measures and the common mistakes people make when reading one.
StatQuest with Josh Starmer
Statistics Fundamentals
Clear, upbeat explanations of distributions, p-values, confidence intervals and hypothesis testing for people new to statistics.
StatQuest with Josh Starmer
Statistics: A Full University Course on Data Science Basics
A long-form introduction to descriptive statistics, probability and inference with worked examples.
freeCodeCamp
The Normal Distribution, Clearly Explained
A short video on what the normal distribution is, why it appears everywhere and how mean and standard deviation shape it.
StatQuest with Josh Starmer
Advanced
Once the basics are comfortable.
A Powerful Extension to Lasso Regression You've Never Heard Of : Fused Lasso
A video from ritvikmath on A Powerful Extension to Lasso Regression You've Never Heard Of : Fused Lasso. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
Contextual Bandits : Data Science Concepts
A video from ritvikmath on Contextual Bandits : Data Science Concepts. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
Elastic Net Regularization : Data Science Concepts
A video from ritvikmath on Elastic Net Regularization : Data Science Concepts. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
I Made an AI Agent to Write Better Video Titles
A video from ritvikmath on I Made an AI Agent to Write Better Video Titles. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
I Perfectly Predicted the Super Bowl Last Year : Can I Do it Again?
A video from ritvikmath on I Perfectly Predicted the Super Bowl Last Year : Can I Do it Again. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
so you built a chatbot, how do you know if it's any good?
A video from ritvikmath on so you built a chatbot, how do you know if it's any good. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
The 4 Must-Know LLM Parameters and the Intuitive Math Behind Them
A video from ritvikmath on The 4 Must-Know LLM Parameters and the Intuitive Math Behind Them. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
The Simple Genius of the Medical Match
A video from ritvikmath on The Simple Genius of the Medical Match. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
The Superior Way to Hold an Auction that Feels Fundamentally Wrong
A video from ritvikmath on The Superior Way to Hold an Auction that Feels Fundamentally Wrong. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
The Unspoken Effectiveness of L3 Regularization
A video from ritvikmath on The Unspoken Effectiveness of L3 Regularization. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
The Yule Walker Equations : Time Series Talk
A talk from ritvikmath on The Yule Walker Equations : Time Series Talk. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
These Four Calculus Rules are Actually All the Same.
A video from ritvikmath on These Four Calculus Rules are Actually All the Same. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
Why You Will (Eventually) Suck at Your Job
A video from ritvikmath on Why You Will (Eventually) Suck at Your Job. Best once you are comfortable with the basics of Math & Statistics. It plays here in the portal, and your progress is saved as you watch.
ritvikmath
Engineering Mathematics (UW ME564 and ME565)
A full university engineering-maths course on video: ODEs, linear algebra, vector calculus and PDEs, taught with applications in mind. Good preparation for physics-informed and scientific ML.
Steve Brunton (University of Washington)
Singular Value Decomposition (Data-Driven Science and Engineering)
The SVD from scratch and why it sits under PCA, recommender systems, image compression and least squares. Short lectures with MATLAB and Python examples.
Steve Brunton (University of Washington)
MIT 18.06: Linear Algebra (Gilbert Strang)
The classic university linear algebra course, taught by Gilbert Strang, covering everything from elimination to SVD.
MIT OpenCourseWare
Expert
Research-level depth and specialist material.
MIT 18.065: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
Gilbert Strang's course on the linear algebra behind modern data science and deep learning.
MIT OpenCourseWare
MIT 18.650: Statistics for Applications
A rigorous course on statistical inference: estimation, hypothesis tests, regression and Bayesian methods, with full derivations.
MIT OpenCourseWare