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
Khan Academy: Linear Algebra
Vectors, matrices, transformations and eigenvectors explained step by step with worked examples.
Khan Academy
Khan Academy: Statistics and Probability
Self-paced lessons and practice on data displays, distributions, probability, sampling and significance tests.
Khan Academy
Linear Algebra: Full College Course
A complete college-level linear algebra course in a single video, from systems of equations to eigenvalues.
freeCodeCamp
OpenIntro Statistics
A free, widely used introductory statistics textbook with exercises, labs and video support.
OpenIntro
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
Seeing Theory: A Visual Introduction to Probability and Statistics
Interactive visualisations from Brown University that let you play with probability, distributions and inference.
Brown University
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