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Create your ownMachine Learning and Data Science
Module 2
Functions and Graphs Used in Machine Learning
Module 3
Vectors and Geometric Representations of Data
Module 4
Matrices, Transformations, and Linear Systems
Module 5
Derivatives and Integrals for Modeling Change
Module 6
Multivariable Calculus and Numerical Optimization
Module 7
Probability Rules and Conditional Reasoning
Module 8
Random Variables and Probability Distributions
Module 9
Sampling, Uncertainty, and Statistical Inference
Module 10
The Mathematics of Linear Regression
Module 11
The Mathematics of Binary Classification
Module 12
Eigenvectors, Principal Components, and Dimensionality Reduction