Difference between revisions of "Machine Learning"
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− | Useful Machine Learning Resources: | + | === Useful Machine Learning Resources: === |
* Andrew Ng’s Machine Learning Coursera class: https://www.coursera.org/course/ml [Really good introduction to basics of machine learning.] | * Andrew Ng’s Machine Learning Coursera class: https://www.coursera.org/course/ml [Really good introduction to basics of machine learning.] |
Revision as of 20:03, 30 April 2014
Contents
Machine Learning Meetups @ SSH
Meetings:
Day/Time: Sundays 3pm-4:30pm (we occasionally decide to reschedule so if you're thinking of coming, it's probably a good idea to email the SSH group list to make sure of the day/time)
Location: SSH space at Mana Contemporary
The deal: we meet to talk about Machine Learning related stuff and work on projects. In the past we have submitted entries to Kaggle competitions. We also have fairly frequent talks on Machine Learning topics. Feel free to just show up!
Just to be clear, this is what we mean by machine learning.
Talks
Upcoming: Vasa: TBD (05/04/2014)
Past:
- Jerry: Decision Trees and Random Forests (04/27/2014)
- Jen: File:DeepLearning.pdf (04/20/2014)
- Phebe: Overview of Machine Learning (04/13/2014)
Useful Machine Learning Resources:
- Andrew Ng’s Machine Learning Coursera class: https://www.coursera.org/course/ml [Really good introduction to basics of machine learning.]
- Getting started with Python for data science: https://www.kaggle.com/wiki/GettingStartedWithPythonForDataScience
- Sci-kit learn: http://scikit-learn.org/stable/ [Insanely useful Python library.]
Useful things to do before coming to meetup:
1. Get your python install set up
- Get python
- Get packages: scikit-learn, numpy
2. Install Dropbox