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Home └MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020

MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020

MIT's course RES.LL-005, titled "Mathematics of Big Data and Machine Learning," was offered during the Independent Activities Period (IAP) in January 2020. Instructed by Dr. Jeremy Kepner and Dr. Vijay Gadepally, the course introduces the Dynamic Distributed Dimensional Data Model (D4M), a computational approach that integrates graph theory, linear algebra, and database design to tackle challenges associated with big data.

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Responsible JIP Academy
Last Update 02/05/2025
Completion Time 12 hours 58 minutes
Members 3
IT & Software Development Cloud Computing & DevOps English Intermediate
    • Course Content
      Preview
    • 1. Artificial Intelligence and Machine Learning
      Preview
    • 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