Resources

This is a list of resources that is not even close to comprehensive. If you feel something is missing or underrepresented, please feel free to contribute updates via a pull-request.

What is Machine Learning / Deep Learning?

• Introduction Video
• A Quick Timeline

How do I keep up to date with the field?

• Many papers are published daily at https://arxiv.org/. It can be overwhelming.
• To have a more sane experience, check out http://www.arxiv-sanity.com/.
• To find open source implementations of https://arxiv.org/ papers, check out http://www.gitxiv.com/.

Are there people I should keep an eye on in the Art / Machine Learning / Computer Vision area?

• Twitter
  • @rebeccafiebrink
  • @samim
  • @jomc
  • @quasimondo
  • @brannondorsey
  • @lijiali_vision
  • @memotv
  • @kcimc
  • @pkmital
  • @drfeifei
  • @hmason
  • @karpathy
  • @thinkmariya
  • @zeynep

  • @genekogan

  • Medium
    • https://medium.com/@samim

Are there some professional organizations I should check out?

• WIML, meetups in Chicago

Is there existing software that I can use without much programming?

• Wekinator

Are there newsletters and podcasts?

• Newsletters
  • Machine Learnings
• Podcasts
  • NVidia AI Podcast

Other resources, tutorials, etc.

• ofBook - Image Processing and Computer Vision
• Introduction to Computer Vision - Coding Train
• Computer Vision for Artists and Designers: Pedagogic Tools and Techniques for Novice Programmers
• ofxAddons - Computer Vision
• Computer Vision Workshop Notes - Kyle Mcdonald

What about other advanced C++ features?

• Move Semantics