Getting started with Machine Learning

There’s a been a lot of attention directed to AI and Machine learning lately so I’d like to collect great materials to get you up to speed.

Ping me if something is missing or shouldn’t be here.

Courses

Andrew Ng’s course — https://www.coursera.org/learn/machine-learning

Andrew Ng’s CS229 Stanford course — http://cs229.stanford.edu/materials.html

Practical Machine Learning (part of PML, from John Hopkins University) is a lighter version compared to Andrew Ng’s ML class, with a little overlap — https://www.coursera.org/learn/practical-machine-learning

AN’s ML class is a lot more advanced regarding algorithms, so requires more rigorous background knowledge and skills.

PML is Practical, uses the language R, which is widely used in Predictive Analytics field in the industry.

ML is for more CS focused folks, uses Octave (Matlab-like language).

You can use WEKA library if you use Java to develop. WEKA is wrapped also in R as well as in Python. But both R and Python has tons of ML libraries already.

NLP

Natural Language Processing by Dan Jurafsky & Christopher Manning – https://www.coursera.org/course/nlp

Two books seem to be fundamental in this field:

Speech and Language Processing, by Chris Manning & Hinrich Schütze
Foundations of Statistical Natural Language Processing, by Daniel Jurafsky & James H. Martin

Datasets

https://www.kaggle.com
https://www.githubarchive.org/ – "GitHub Archive is a project to record the public GitHub timeline, archive it, and make it easily accessible for further analysis."
https://commoncrawl.org/ – "We build and maintain an open repository of web crawl data that can be accessed and analyzed by anyone."

Neural networks

Fun projects

Jobs

Machine Learning Engineer @mattermark – https://jobs.lever.co/mattermark/2f9c8c35-c9eb-4201-880a-886f77362d25

Misc

OpenAI Reddit AMA (January 9, 2016) – https://www.reddit.com/r/MachineLearning/comments/404r9m/ama_the_openai_research_team/
Greg Brockman's resource list – https://github.com/gdb/kaggle#resources-ive-been-learning-from
Artificial Intelligence Weekly — http://aiweekly.co/

html5cat/getting-started-with-machine-learning

ErrorLooks like something went wrong!

About

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Error
Looks like something went wrong!

Packages