Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

$Mathematics for AI$

AI Roadmap

Mathematics for AI

Learning Path

Follow these concepts in order to master this topic.

Why Mathematics Matter in AI

Scalars, Vectors & Matrices

Matrix Operations

Matrix Multiplication

Identity & Inverse Matrices

Linear Transformations

Eigenvalues & Eigenvectors

Derivatives

Partial Derivatives

Gradient & Gradient Descent

Limits

Probability Basics

Conditional Probability

Bayes' Theorem

Random Variables

Probalitiy Distributions

Mean, Median & Mode

Variance & Standard Deviation

Correlation

Optimization Basics

Documentation

Official documentation and references.

Essence of Linear Algebra

Recommended

Khan Academy Mathematics

Mathematics for Machine Learning

Video Courses

Linear Algebra Full Course

11h 40m

Probability & Statistics for Machine Learning

8h 15m

Practice Websites

Practice what you've learned.

Khan Academy

Brilliant

Math is Fun

Projects

Apply what you've learned by building real projects.

Build a Matrix Calculator in Python

Beginner

Implement Gradient Descent from Scratch

Intermediate

Visualize Probability Distributions with Python

Advanced