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MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
    • Course Content
    • 1. Artificial Intelligence and Machine Learning
    • 2. Cyber Network Data Processing; AI Data Architecture
    • Lecture: Mathematics of Big Data and Machine Learning
    • 0. Introduction
    • 0. Examples Demonstration
    • 1. Using Associative Arrays
    • 1. Examples Demonstration
    • 2. Group Theory
    • 2. Examples Demonstration
    • 3. Entity Analysis in Unstructured Data
    • 3. Examples Demonstration
    • 4. Analysis of Structured Data
    • 4. Examples Demonstration
    • 5. Perfect Power Law Graphs -- Generation, Sampling, Construction, and Fitting
    • 5. Examples Demonstration
    • 6. Bio Sequence Cross Correlation
    • 6. Examples Demonstration
    • Demonstration 7
    • 7. Kronecker Graphs, Data Generation, and Performance
    • 7. Examples Demonstration