Bỏ qua để đến Nội dung
Trang chủ └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.

Tham gia khóa học này
Người phụ trách JIP Academy
Cập nhật Lần cuối 05/02/2025
Thời gian hoàn thành 12 giờ 58 phút
Thành viên 3
IT & Software Development Cloud Computing & DevOps English Trung cấp
    • Course Content
      Xem trước
    • 1. Artificial Intelligence and Machine Learning
      Xem trước
    • 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