RES.LL-005 | January IAP 2020 | Undergraduate Mathematics Of Big Data And Machine Learning

• Syllabus • Instructor Insights • Lecture Notes • Class Videos

Course Description

This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless …Show more

Course Info

INSTRUCTORS

• Dr. Jeremy Kepner
• Dr. Vijay Gadepally

DEPARTMENTS

• Supplemental Resources

TOPICS

• Business
  • Information Technology
• Engineering

LEARNING RESOURCE TYPES

theatersLecture Videos

notesLecture Notes

co_presentInstructor Insights

“Big Data” refers to a technological phenomenon that has emerged since the mid-1980s. As computers have improved in capacity and speed, the greater storage and processing possibilities have also generated new challenges. New analytical tools, including the ones introduced in this course, have since been developed to solve these challenges in management of those phenomenally large data sets. (Image source: DARPA/public domain.)

Mathematics for Machine Learning and Data Science