🐈Amit Mehra
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Artificial Intelligence
0. The 100 Page ML
Chapter 1 - Introduction
Chapter 2 - Notation and Definitions
Chapter 3 - Fundamental Algorithms
Chapter 4 - Anatomy of a Learning Algorithms
Chapter 5 - Basic Practice
Chapter 6 - Neural Networks and Deep Learning
Chapter 7 - Problem and Solutions
Chapter 8 - Advance Practice
Chapter 9 - Unsupervised Learning
Chapter 10 - Other forms of Learning
Chapter 11 - Conclusion
The 100 Page ML
1. Probabilistic Machine Learning
Chap 0 - Introduction
Chap 1 - Probability
Chap 2 - Statistics
Chap 3 - Decision Theory
Chap 4 - Information Theory
Chap 5 - Linear Algebra
Chap 6 - Optimization
Probabilistic Machine Learning
Artificial Intelligence
Computer Science
Computer Science
Dynamic Programming
The Algorithms in Computing
Mathematics
Discrete.Mathematics
Chapter 01 - The Foundations - Logic and Proofs
Chapter 02 - Basic Structures
Chapter 03 - Algorithms
Chapter 04 - Number Theory and Cryptography
Chapter 05 - Induction and Recursion
Chapter 06 - Counting
Chapter 07 - Discrete Probability
Chapter 08 - Advanced Counting Techniques
Chapter 09 - Relations
Chapter 10 - Boolean Algebra
Discrete Mathematics
Mathematics
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Artificial Intelligence
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0. The 100 Page ML
Folder: Artificial-Intelligence/0.-The-100-Page-ML
12 items under this folder.
Feb 02, 2025
Chapter 1 - Introduction
Feb 02, 2025
Chapter 10 - Other forms of Learning
Feb 02, 2025
Chapter 11 - Conclusion
Feb 02, 2025
Chapter 2 - Notation and Definitions
Feb 02, 2025
Chapter 3 - Fundamental Algorithms
Feb 02, 2025
Chapter 4 - Anatomy of a Learning Algorithms
Feb 02, 2025
Chapter 5 - Basic Practice
Feb 02, 2025
Chapter 6 - Neural Networks and Deep Learning
Feb 02, 2025
Chapter 7 - Problem and Solutions
Feb 02, 2025
Chapter 8 - Advance Practice
Feb 02, 2025
Chapter 9 - Unsupervised Learning
Feb 02, 2025
The 100 Page ML