MIT OpenCourseWare
Algorithmic Aspects of Machine Learning
- Instructor
- Prof. Ankur Moitra
- Term
- Spring 2015
- Level
- Graduate
- What's inside
- 2 problem sets · 1 lecture note · 1 reading · 11 other files · 6 web pages
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare 18.409 Algorithmic Aspects of Machine Learning, Spring 2015, Prof. Ankur Moitra — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: none is claimed; materials are grouped by MIT's own sections. 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
- MIT lists a session calendar for this course, but it could not be verified well enough to build a sequence from it — materials are grouped by section instead.
Not included here
53 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. (53 items)
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
11 files
- Algorithmic Aspects of Machine Learning Download
- Nonnegative Matrix Factorization Download
- Tensor Methods Download
- Sparse Recovery Download
- Gaussian Mixture Models Download
- Matrix Completion Download
- Introduction Download
- New Algorithms for Nonnegative Matrix Factorization and Beyond Download
- Tensor Decompositions and Their Applications Download
- Simple, Efficient and Neural Algorithms for Sparse Coding Download
- Disentangling Gaussians Download
Assignments
MIT OpenCourseWare, Prof. Ankur Moitra, 18.409 Algorithmic Aspects of Machine Learning, Spring 2015.
License: CC BY-NC-SA 4.0 · Edition: Spring 2015 · Open the original course on OCW ↗
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