RES.LL-005 | January IAP 2020 | Undergraduate
Mathematics of Big Data and Machine Learning

Class Videos

The following video, filmed in January 2018, serves as motivation material to this course.

Video: Mathematics of Big Data and Machine Learning

The head and founder of the MIT Lincoln Laboratory Supercomputing Center, Dr. Jeremy Kepner, shares why students should be interested in learning about mathematics of big data and how it relates to machine learning and other data processing and analysis challenges.

The following videos, filmed in January 2020, explain the mathematics of Big Data and machine learning.

Video 1: Artificial Intelligence and Machine Learning

Dr. Vijay Gadepally provides an overview on artificial intelligence and takes a deep dive on machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

Video 2-1: Cyber Network Data Processing (00:23:28)

Watch this video only until 00:23:28, in which Dr. Vijay Gadepally discusses anomaly detection and data conditioning in machine learning.

Video 2-2: AI Data Architecture (00:53:12)

In this video, which starts where video 2-1 left off and plays until the end of this class session, Dr. Jeremy Kepner leads the class to explore the AI data architecture in data processing.

The following videos show classes from the course, D4M: Signal Processing on Databases, taught by Dr. Jeremy Kepner in 2012. Session 7 contains demo only.

Course Info
As Taught In
January IAP 2020
Learning Resource Types
theaters Lecture Videos
notes Lecture Notes
co_present Instructor Insights