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Browse materialsMIT RES.LL-005 · January IAP 2020

Mathematics of Big Data and Machine Learning

Subjects: Machine Learning · Mathematics · Technology

Art: Alain Manesson Mallet, View of an armillary sphere, 1683, 1683 · Public domain

Instructors
Dr. Jeremy Kepner, Dr. Vijay Gadepally
Term
January IAP 2020
Level
Undergraduate
What's inside
38 videos · 1 lecture note · 49 other files · 6 web pages
Materials open
Videos here · files on MIT OCW

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About this course

Source: MIT OpenCourseWare RES.LL-005 Mathematics of Big Data and Machine Learning, January IAP 2020, Dr. Jeremy Kepner, Dr. Vijay Gadepally — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.

Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

What's here, and what isn't

  • A lecture sequence of 21 items is confirmed. No assignments or exams were found for this course, so it stays as organized materials rather than a full course order.

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11 items from the source could not be safely included:

  • MIT's page format for this item wasn't recognized clearly enough to place it safely. (11 items)

Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Lecture Notes

11 files

Other materials from this course

17 videos
38 video transcripts

2 images

MIT OpenCourseWare, Dr. Jeremy Kepner, Dr. Vijay Gadepally, RES.LL-005 Mathematics of Big Data and Machine Learning, January IAP 2020.

License: CC BY-NC-SA 4.0 · Edition: January IAP 2020 · Open the original course on OCW ↗

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