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Math for AI Clear all

Mira Okafor

I teach how neural networks learn, one small worked example at a timeneural network fundamentals, activation and loss functions, backpropagation9 tutors4.5(21)Sample

Kavya Raman

Classical machine learning models, worked through on paper before any codelinear and logistic regression, decision trees, random forests9 tutors4.4(20)Sample

Wanjiru Kamau

Study skills coach helping students and families use AI to learn more, not do lessStudy skills, revision and exam preparation, learning to code9 tutors4.5(20)Sample

Kenta Arai

Probability for machine learning, plus forecasting and anomaly detectionprobability, expectation and variance, maximum likelihood9 tutors4.4(18)Sample

Lina Khoury

Statistics in plain language, from averages to Bayesian reasoningdescriptive statistics, probability, distributions9 tutors4.5(20)Sample

Katarzyna Wolska

Linear algebra for AI, with geometry first and notation secondvectors, matrices, dot products9 tutors4.6(21)Sample

Leandro Ferraz

Calculus and optimisation for machine learning, done by handderivatives, gradients, chain rule9 tutors4.6(18)Sample