Foundations

Mathematical Foundations

Linear algebra, calculus, probability, statistics and optimisation — the maths behind ML

2,094
lessons
Skills in this topic
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Maths for ML
beginner
Multiply matrices and compute dot products
Probability & Statistics
beginner
Calculate conditional probability and Bayes' theorem
Optimisation
intermediate
Implement gradient descent from scratch
Information Theory
intermediate
Calculate Shannon entropy and cross-entropy loss
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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
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Modern C++ Templates In Depth
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Modern C++ Templates In Depth
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Fundamentals of Scientific Research Under Uncertainty
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Fundamentals of Scientific Research Under Uncertainty
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Design of Special Utility Systems
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Design of Special Utility Systems
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Bayesian Inference Fundamentals
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Bayesian Inference Fundamentals
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Using Machine Learning in Trading and Finance
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Using Machine Learning in Trading and Finance
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