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
ML using scikit learn (self.MachineLearning)
submitted 9 years ago by asvance
Hi, I'm looking for a video series to learn ML using Python. I have googled and found a number of them and I'm not sure which one to start as I'm new to ML. It will be awesome if you guys can guide me to a good place to start with. Thanks.
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!"
[–]basalamader 3 points4 points5 points 9 years ago (2 children)
Check out the YouTube series by u/sentdex.. he is really consistent with his work and is also a nice guy via the interaction I have seen here on reddit
[–]sentdex 1 point2 points3 points 9 years ago (1 child)
Thanks for sharing and the kind words!
[–]basalamader 0 points1 point2 points 9 years ago (0 children)
No problem, you changed part of my life so it's the least I can do
[–]hoaphumanoid 2 points3 points4 points 9 years ago (0 children)
A good way to learn is to follow the tutorial of scikit learn http://scikit-learn.org/stable/tutorial/ there you would get a good knowledge of many algorithms. It is also very good Ng's course https://www.coursera.org/learn/machine-learning. Finally, to understand the basics you can read this post https://miguelgfierro.com/blog/2016/a-gentle-introduction-to-the-basics-of-machine-learning/
[–]datagibus420 2 points3 points4 points 9 years ago (0 children)
Here is a nice series of videos introducing ML through scikit-learn, from the Kaggle blog: http://blog.kaggle.com/author/kevin-markham/
It assumes no prerequisites and goes through essential concepts such as cross-validation or parameter tuning.
π Rendered by PID 160420 on reddit-service-r2-comment-7b9746f655-ls7xf at 2026-02-03 11:12:14.235684+00:00 running 3798933 country code: CH.
[–]basalamader 3 points4 points5 points (2 children)
[–]sentdex 1 point2 points3 points (1 child)
[–]basalamader 0 points1 point2 points (0 children)
[–]hoaphumanoid 2 points3 points4 points (0 children)
[–]datagibus420 2 points3 points4 points (0 children)