Mathematics of Big Data and Machine Learning (M-I-T)

• 1. Artificial Intelligence and Machine Learning (M-I-T)
• Lecture: Mathematics of Big Data and Machine Learning (M-I-T)
• 0. Introduction (M-I-T)
• 0. Examples Demonstration (M-I-T)
• 1. Using Associative Arrays (M-I-T)
• 1. Examples Demonstration (M-I-T)
• 2. Group Theory (M-I-T)
• 2. Examples Demonstration (M-I-T)
• 3. Entity Analysis in Unstructured Data (M-I-T)
• 3. Examples Demonstration (M-I-T)
• 4. Analysis of Structured Data (M-I-T)
• 4. Examples Demonstration (M-I-T)
• 5. Perfect Power Law Graphs -- Generation, Sampling, Construction, and Fitting (M-I-T)
• 5. Examples Demonstration (M-I-T)
• 6. Bio Sequence Cross Correlation (M-I-T)
• 6. Examples Demonstration (M-I-T)
• Demonstration 7 (M-I-T)
• 7. Kronecker Graphs, Data Generation, and Performance (M-I-T)
• 7. Examples Demonstration (M-I-T)