GitHub - N-MohammedShakeel/Mathematics_For_AI_Bootcamp: Mathematics for AI Bootcamp by Mohammed Shakeel — structured into foundational modules such as Algebra, Linear Algebra, Statistics & Probability, Calculus, and AI-specific Applications. Designed as a comprehensive math resource tailored for aspiring AI and machine learning practitioners. Continually expanding with clear hands-on explanations.

Name		Name	Last commit message	Last commit date
0. Introduction		0. Introduction
1. Linear Algebra		1. Linear Algebra
2. Statistics and Probability		2. Statistics and Probability
3. Calculus		3. Calculus
4. Information Theory and Parameter Estimation		4. Information Theory and Parameter Estimation
5. Optimization Theory		5. Optimization Theory
6. Stochastic Processes and Sampling		6. Stochastic Processes and Sampling
7. Discrete Mathematics and Graph Theory for AI		7. Discrete Mathematics and Graph Theory for AI
Applications		Applications
Basics Of Algebra		Basics Of Algebra
MASTER_MATHEMATICS_ROADMAP.md		MASTER_MATHEMATICS_ROADMAP.md

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Mathematics for AI Bootcamp by Mohammed Shakeel — structured into foundational modules such as Algebra, Linear Algebra, Statistics & Probability, Calculus, and AI-specific Applications. Designed as a comprehensive math resource tailored for aspiring AI and machine learning practitioners. Continually expanding with clear hands-on explanations.

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