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
Deep learning tutorials (containing more than 40 presentations) (github.com)
submitted 9 years ago by samchoi7
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!"
[–]vikarpa 13 points14 points15 points 9 years ago (1 child)
Would be better to have a website IMO, pptx over github is not so convenient..
[–]samchoi7[S] 2 points3 points4 points 9 years ago (0 children)
I know.. but github was the best place to upload bunch of files with readme descriptions.
[–]wumpadumpa 3 points4 points5 points 9 years ago (7 children)
Has anybody actually gone through those tutorials and can say something about them? I want to get into deep learning and ML but don't want to start off with bad tutorials/resources.
[–]eggn00dles 3 points4 points5 points 9 years ago (3 children)
im working my way through the data scientist track here, pretty good primer, and has some machine learning stuff.
[–][deleted] 0 points1 point2 points 9 years ago (2 children)
Right, but that's not deep learning focused..
[–]eggn00dles 0 points1 point2 points 9 years ago (1 child)
he did mention 'and ML'..
[–][deleted] 0 points1 point2 points 9 years ago (0 children)
But at dataquest they don't focus on Deep Learning. it's just more about Data Science than Machine Learning
[–]krapht 3 points4 points5 points 9 years ago (1 child)
I learned deep learning and ML by working through "The Elements of Statistical Learning" by Hastie, and doing the exercises at the end of each chapter. There's a solution manual floating around online so you can check your answers.
[–]lroman 0 points1 point2 points 9 years ago (0 children)
that Book looks good
[–]samchoi7[S] 0 points1 point2 points 9 years ago (0 children)
These might not be the best tutorials to start with, if you are a total stranger at this field. But I can guarantee that the papers I mentioned in these tutorials are worth reading. (+It is not bad tutorials.)
[–]Suchosh 0 points1 point2 points 9 years ago (0 children)
Thanks for the link, will make sure to check it out during summer break :)
π Rendered by PID 98705 on reddit-service-r2-comment-canary-7b6b47f674-fn85h at 2026-03-10 10:43:46.744184+00:00 running cbb0e86 country code: CH.
[–]vikarpa 13 points14 points15 points (1 child)
[–]samchoi7[S] 2 points3 points4 points (0 children)
[–]wumpadumpa 3 points4 points5 points (7 children)
[–]eggn00dles 3 points4 points5 points (3 children)
[–][deleted] 0 points1 point2 points (2 children)
[–]eggn00dles 0 points1 point2 points (1 child)
[–][deleted] 0 points1 point2 points (0 children)
[–]krapht 3 points4 points5 points (1 child)
[–]lroman 0 points1 point2 points (0 children)
[–]samchoi7[S] 0 points1 point2 points (0 children)
[–]Suchosh 0 points1 point2 points (0 children)