Foundations

Mathematical Foundations

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

2,093
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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Measures of Variability
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Measures of Variability
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Linear Algebra: Linear Systems and Matrix Equations
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Linear Algebra: Linear Systems and Matrix Equations
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RStudio for Six Sigma - Hypothesis Testing
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RStudio for Six Sigma - Hypothesis Testing
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Pharmacotherapy: Understanding Biotechnology Products
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Pharmacotherapy: Understanding Biotechnology Products
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Engineering Probability and Statistics Part 2
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Engineering Probability and Statistics Part 2
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Applied Mathematical Methods for Computing
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Applied Mathematical Methods for Computing
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