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1. Artificial Intelligence and Machine Learning
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Mathematics of Big Data and Machine Learning, IAP 2020
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- 1 1. Artificial Intelligence and Machine Learning
- 2 2. Cyber Network Data Processing; AI Data Architecture
- 3 Lecture: Mathematics of Big Data and Machine Learning
- 4 0. Introduction
- 5 0. Examples Demonstration
- 6 1. Using Associative Arrays
- 7 1. Examples Demonstration
- 8 2. Group Theory
- 9 2. Examples Demonstration
- 10 3. Entity Analysis in Unstructured Data
- 11 3. Examples Demonstration
- 12 4. Analysis of Structured Data
- 13 4. Examples Demonstration
- 14 5. Perfect Power Law Graphs -- Generation, Sampling, Construction, and Fitting
- 15 5. Examples Demonstration
- 16 6. Bio Sequence Cross Correlation
- 17 6. Examples Demonstration
- 18 Demonstration 7
- 19 7. Kronecker Graphs, Data Generation, and Performance
- 20 7. Examples Demonstration