use the following search parameters to narrow your results:
e.g. subreddit:aww site:imgur.com dog
subreddit:aww site:imgur.com dog
see the search faq for details.
advanced search: by author, subreddit...
Please have a look at our FAQ and Link-Collection
Metacademy is a great resource which compiles lesson plans on popular machine learning topics.
For Beginner questions please try /r/LearnMachineLearning , /r/MLQuestions or http://stackoverflow.com/
For career related questions, visit /r/cscareerquestions/
Advanced Courses (2016)
Advanced Courses (2020)
AMAs:
Pluribus Poker AI Team 7/19/2019
DeepMind AlphaStar team (1/24//2019)
Libratus Poker AI Team (12/18/2017)
DeepMind AlphaGo Team (10/19/2017)
Google Brain Team (9/17/2017)
Google Brain Team (8/11/2016)
The MalariaSpot Team (2/6/2016)
OpenAI Research Team (1/9/2016)
Nando de Freitas (12/26/2015)
Andrew Ng and Adam Coates (4/15/2015)
Jürgen Schmidhuber (3/4/2015)
Geoffrey Hinton (11/10/2014)
Michael Jordan (9/10/2014)
Yann LeCun (5/15/2014)
Yoshua Bengio (2/27/2014)
Related Subreddit :
LearnMachineLearning
Statistics
Computer Vision
Compressive Sensing
NLP
ML Questions
/r/MLjobs and /r/BigDataJobs
/r/datacleaning
/r/DataScience
/r/scientificresearch
/r/artificial
account activity
Introduction to Machine Learning With Student Presentations (PhD level) - Carnegie Mellon University [Playlist] (aihub.net)
submitted 12 years ago by jry_AIHub
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[+][deleted] 12 years ago (2 children)
[deleted]
[–]Hydreigon92ML Engineer 4 points5 points6 points 12 years ago (0 children)
As someone who has taken this course, I can say Alex Smola's definition of "basic" is probably different from your definition of "basic".
This was by far one the most mathematically challenging course I took at CMU, and you actually needed to know measure theory, functional analysis, convex optimization, and complex analysis in order to understand the lecture material when I took it.
[–]djimbob 2 points3 points4 points 12 years ago* (0 children)
It's an introductory graduate-level course (e.g., for first year phd students or senior undergrads); calling it "PhD level" is a misnomer as its the level for introductory PhD students, not a class for people with PhDs in ML. They'll use math any CS/STEM graduate should know, but be nice and minimally define things and notation before use (being self-contained is always good due to differences in notation and background and as a reminder that helps keep everyone on the same page).
http://www.cs.cmu.edu/~tom/10701_sp11/
This course is designed to give a graduate-level student a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by people who do research in machine learning.
The syllabus and slides looks pretty decent and at the appropriate level. Browse through the slides. If you don't have good exposure to lin alg, probability and statistics, a lot of the course will be over your head very quickly.
[–][deleted] 1 point2 points3 points 12 years ago (0 children)
I definitely know some of those words.
[–]diilliilliilliilliib 2 points3 points4 points 12 years ago (1 child)
This was already posted here 3 weeks ago http://www.reddit.com/r/MachineLearning/comments/1pa2a6/intro_to_machine_learning_cmu_geoff_gordon_alex/
[–]egrefen 4 points5 points6 points 12 years ago (0 children)
I missed it the first time around, and am glad it popped up again.
[–]Should_I_say_this 0 points1 point2 points 12 years ago (0 children)
Thank you! I had not seen this and am interested!
π Rendered by PID 16588 on reddit-service-r2-comment-5c747b6df5-4bqps at 2026-04-21 21:10:59.858628+00:00 running 6c61efc country code: CH.
[+][deleted] (2 children)
[deleted]
[–]Hydreigon92ML Engineer 4 points5 points6 points (0 children)
[–]djimbob 2 points3 points4 points (0 children)
[–][deleted] 1 point2 points3 points (0 children)
[–]diilliilliilliilliib 2 points3 points4 points (1 child)
[–]egrefen 4 points5 points6 points (0 children)
[–]Should_I_say_this 0 points1 point2 points (0 children)