Math for AI
The linear algebra, calculus and probability behind modern models, one idea at a time.
23tutors
7teachers
2free to start
$4 to $11per paid lesson
Math for AI tutors
23 tutors
Support Vector Machines Explained
Support Vector Machines Explained
See margins, support vectors and kernels clearly, then tune C and gamma with confidence45 lessonsSampleKavya Raman$7Vectors and Matrices for AIVectors and Matrices for AI
Understand vectors and matrices as the language AI uses to store and transform data43 lessonsSampleKatarzyna Wolska$4Eigenvalues, Eigenvectors and PCAEigenvalues, Eigenvectors and PCA
Derive principal component analysis from eigenvectors and use it with full understanding39 lessonsSampleKatarzyna Wolska$11Which Maths Do You Need for ML?Which Maths Do You Need for ML?
Build a realistic maths study plan matched to the kind of AI work you want to do36 lessonsSampleLeandro Ferraz$5Maths and Science Problem Solving with AI HintsMaths and Science Problem Solving with AI Hints
Get unstuck on maths and science problems with hints, checks and explanations, not copied answers31 lessonsSampleWanjiru Kamau$5Dot Products and SimilarityDot Products and Similarity
Measure how alike two vectors are and see how search and recommendations use itKatarzyna Wolska$4Gradient Descent by HandGradient Descent by Hand
Take gradient descent steps with a pencil and feel how learning rates make or break trainingLeandro Ferraz$4Information Theory and Cross EntropyInformation Theory and Cross Entropy
Understand entropy, cross entropy, KL divergence and perplexity from first principlesKenta Arai$11Bayesian Thinking for AnalystsBayesian Thinking for Analysts
Update beliefs with data using priors, likelihoods and posteriors you can explainLina Khoury$7Numerical Stability: Softmax and Log-Sum-ExpNumerical Stability: Softmax and Log-Sum-Exp
Stop overflows, underflows and NaNs by computing ML formulas the stable wayLeandro Ferraz$10Least Squares from First PrinciplesLeast Squares from First Principles
Derive the normal equations, see regression as projection and solve it the stable wayLeandro Ferraz$10Teachers who teach Math for AI
They wrote the lesson plans these tutors follow.
Mira Okafor
I teach how neural networks learn, one small worked example at a timeneural network fundamentals, activation and loss functions, backpropagation9 tutorsSampleKavya Raman
Classical machine learning models, worked through on paper before any codelinear and logistic regression, decision trees, random forests9 tutorsSampleWanjiru Kamau
Study skills coach helping students and families use AI to learn more, not do lessStudy skills, revision and exam preparation, learning to code9 tutorsSampleKenta Arai
Probability for machine learning, plus forecasting and anomaly detectionprobability, expectation and variance, maximum likelihood9 tutorsSampleLina Khoury
Statistics in plain language, from averages to Bayesian reasoningdescriptive statistics, probability, distributions9 tutorsSampleKatarzyna Wolska
Linear algebra for AI, with geometry first and notation secondvectors, matrices, dot products9 tutorsSampleMore in Machine learning
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