Learn Math for ML Free

AI & Data

Start with But what is a convolution? (23 min, 3Blue1Brown), then But what is the Fourier Transform? A visual introduction. (20 min, 3Blue1Brown). All 250 lessons here are free, from the teachers' own official uploads. You'll need laptop stand, noise-cancelling headphones, second monitor and a few more basics (about $270 of kit). The book to keep beside you: Mathematics for Machine Learning by Marc Peter Deisenroth.

What you'll need

• Laptop stand: Screen at eye level for long study sessions.
• Noise-cancelling headphones: Focus through long video lessons.
• Second monitor: Video on one screen, practice on the other.
• Wireless keyboard and mouse: Comfortable for hours of typing.

Lessons

• But what is a convolution? (23 min, 3Blue1Brown, Beginner)
• But what is the Fourier Transform? A visual introduction. (20 min, 3Blue1Brown, Beginner)
• How (and why) to take a logarithm of an image (45 min, 3Blue1Brown, Intermediate)
• Simulating an epidemic (23 min, 3Blue1Brown, Intermediate)
• But what are Hamming codes? The origin of error correction (20 min, 3Blue1Brown, Intermediate)
• Divergence and curl: The language of Maxwell's equations, fluid flow, and more (16 min, 3Blue1Brown, Intermediate)
• Solving Wordle using information theory (31 min, 3Blue1Brown, Intermediate)
• Taylor series | Chapter 11, Essence of calculus (22 min, 3Blue1Brown, Intermediate)
• The essence of calculus (17 min, 3Blue1Brown, Intermediate)
• But what is a Laplace Transform? (35 min, 3Blue1Brown, Beginner)
• Reinventing Entropy | Compression is Intelligence Part 1 (32 min, 3Blue1Brown, Intermediate)
• Bayes theorem, the geometry of changing beliefs (15 min, 3Blue1Brown, Intermediate)
• Oh, wait, actually the best Wordle opener is not “crane”… (11 min, 3Blue1Brown, Intermediate)
• The Physics of Euler's Formula | Laplace Transform Prelude (28 min, 3Blue1Brown, Intermediate)
• Why π is in the normal distribution (beyond integral tricks) (25 min, 3Blue1Brown, Intermediate)
• Binomial distributions | Probabilities of probabilities, part 1 (13 min, 3Blue1Brown, Intermediate)
• Differential equations, a tourist's guide | DE1 (27 min, 3Blue1Brown, Intermediate)
• How (and why) to raise e to the power of a matrix | DE6 (27 min, 3Blue1Brown, Intermediate)
• The simpler quadratic formula | Ep. 1 Lockdown live math (52 min, 3Blue1Brown, Intermediate)
• Convolutions | Why X+Y in probability is a beautiful mess (27 min, 3Blue1Brown, Intermediate)
• Exponential growth and epidemics (9 min, 3Blue1Brown, Intermediate)
• The medical test paradox, and redesigning Bayes' rule (21 min, 3Blue1Brown, Intermediate)
• Visualizing the 4d numbers Quaternions (32 min, 3Blue1Brown, Intermediate)
• Why Laplace transforms are so useful (23 min, 3Blue1Brown, Intermediate)
• Abstract vector spaces | Chapter 16, Essence of linear algebra (17 min, 3Blue1Brown, Intermediate)
• Linear transformations and matrices | Chapter 3, Essence of linear algebra (11 min, 3Blue1Brown, Intermediate)
• The paradox of the derivative | Chapter 2, Essence of calculus (17 min, 3Blue1Brown, Intermediate)
• Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2 (10 min, 3Blue1Brown, Intermediate)
• Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra (17 min, 3Blue1Brown, Intermediate)
• Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus (21 min, 3Blue1Brown, Intermediate)
• The determinant | Chapter 6, Essence of linear algebra (10 min, 3Blue1Brown, Intermediate)
• The other way to visualize derivatives | Chapter 12, Essence of calculus (14 min, 3Blue1Brown, Intermediate)
• What's so special about Euler's number e? | Chapter 5, Essence of calculus (14 min, 3Blue1Brown, Intermediate)
• Complete Statistics For Data Science In 6 hours By Krish Naik (329 min, Krish Naik, Intermediate)
• Derivative formulas through geometry | Chapter 3, Essence of calculus (18 min, 3Blue1Brown, Intermediate)
• Gradient Descent, Step-by-Step (24 min, StatQuest with Josh Starmer, Beginner)
• Matrix multiplication as composition | Chapter 4, Essence of linear algebra (10 min, 3Blue1Brown, Intermediate)
• Who cares about topology? (Old version) (17 min, 3Blue1Brown, Intermediate)
• Why slicing a cone gives an ellipse (beautiful proof) (13 min, 3Blue1Brown, Intermediate)
• Why this puzzle is impossible (20 min, 3Blue1Brown, Intermediate)
• A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra (13 min, 3Blue1Brown, Intermediate)
• But what is a partial differential equation? | DE2 (18 min, 3Blue1Brown, Beginner)
• But what is the Central Limit Theorem? (31 min, 3Blue1Brown, Beginner)
• But what is the Riemann zeta function? Visualizing analytic continuation (22 min, 3Blue1Brown, Beginner)
• Euler's formula with introductory group theory (24 min, 3Blue1Brown, Intermediate)
• Exploration & Epiphany | Guest video by Paul Dancstep (52 min, 3Blue1Brown, Intermediate)
• Gil Strang's Final 18.06 Linear Algebra Lecture (65 min, MIT OpenCourseWare, Intermediate)
• Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra (12 min, 3Blue1Brown, Intermediate)
• Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus (18 min, 3Blue1Brown, Intermediate)
• Researchers thought this was a bug (Borwein integrals) (17 min, 3Blue1Brown, Intermediate)
• Some light quantum mechanics (with minutephysics) (22 min, 3Blue1Brown, Intermediate)
• Support Vector Machines Part 1 (of 3): Main Ideas!!! (21 min, StatQuest with Josh Starmer, Intermediate)
• The more general uncertainty principle, regarding Fourier transforms (18 min, 3Blue1Brown, Intermediate)
• Vectors | Chapter 1, Essence of linear algebra (10 min, 3Blue1Brown, Intermediate)
• Visualizing the chain rule and product rule | Chapter 4, Essence of calculus (16 min, 3Blue1Brown, Intermediate)
• 25 Math explainers you may enjoy | SoME3 results (22 min, 3Blue1Brown, Intermediate)
• But what is cross-entropy? | Compression is Intelligence Part 2 (34 min, 3Blue1Brown, Beginner)
• But why is a sphere's surface area four times its shadow? (16 min, 3Blue1Brown, Intermediate)
• Dot products and duality | Chapter 9, Essence of linear algebra (14 min, 3Blue1Brown, Intermediate)
• How colliding blocks act like a beam of light...to compute pi. (15 min, 3Blue1Brown, Intermediate)

Books on Math for ML

1. Mathematics for Machine Learning by Marc Peter Deisenroth - View on Amazon
2. Naked Statistics by Charles J. Wheelan - View on Amazon
3. Practical Statistics for Data Scientists by Peter Bruce - View on Amazon
4. The Art of Statistics by David Spiegelhalter - View on Amazon
5. The Elements of Statistical Learning by Trevor Hastie - View on Amazon