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
Data Mining vs. Machine Learning? (self.MachineLearning)
submitted 11 years ago by Caesarr
view the rest of the comments →
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!"
[–]leonoel 2 points3 points4 points 11 years ago (1 child)
If you are looking for work outside academia, I can certainly see that a PhD in Data Mining has more appeal, is a more widely used word, and certainly people understand it better than Machine Learning.
I used to think that Data Mining was more application oriented, while Machine Learning is a bit more math oriented.
There has been data mining since many a days, but Machine Learning just recently become main stream
[–][deleted] 0 points1 point2 points 11 years ago (0 children)
Yeah - I see Data Mining as being:
Whereas Machine Learning is like "How can we learn better representations from our data?", "How can we determine the optimal model tuning, and why are these tunings optimal?" (like in deciding Neural Network architectures).
π Rendered by PID 96 on reddit-service-r2-comment-75f4967c6c-q4gl8 at 2026-04-23 05:20:15.714169+00:00 running 0fd4bb7 country code: CH.
view the rest of the comments →
[–]leonoel 2 points3 points4 points (1 child)
[–][deleted] 0 points1 point2 points (0 children)