Resources

The following are resources for our meetup.

 Meetup Shared Notes

The following is a shareable Google doc where Meetup members may put information to share with the group:

https://drive.google.com/open?id=17cWK7m2LF-nSCpJZhvTS-6Wh7WN9Z3q8gn_MjPzGYGA

Skills

These are skills required for the assignments. Numerous resources are available online, in print, and in live and online courses for them.

Machine Learning discussions will necessarily involve discussions of statistics and mathematics, some background will be required. Prerequisite mathematics skills are:

  • Statistics
  • Probability
  • Calculus

Programming skills required for the meetings follow:

  • Python
  • R

Information Technology

Source code

Download the source code from the Manning book Machine Learning in Action above to run the meeting examples.

Ted Rand made a Python 3 version of chapter 5’s code to share with anyone using the new Python:

https://github.com/tedrand/KaggleRepo/blob/master/Learn/MLiA_Notes/MLiA_CH5_Notes.ipynb