Learning ML

Intro

• Jupyter
  • Home: https://jupyter.org/
  • Wikipedia: https://en.wikipedia.org/wiki/Project_Jupyter
  • Setup: https://www.youtube.com/watch?v=2WL-XTl2QYI
• SciKit Learn
  • Home: https://scikit-learn.org/stable/index.html
  • Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
  • Iris Tutorial: https://www.youtube.com/watch?v=hd1W4CyPX58
• Java
  • SMILE: https://haifengl.github.io/

Cloud Platform Courses

• Amazon (AWS)
  • Machine Learning University
  • This is where I got my formal training, while working at Amazon. It's good.
  • https://aws.amazon.com/machine-learning/mlu/
  • https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw
• Google (Google Cloud)
  • Machine Learning Crash Course
  • I have not used it, but this is supposed to be their equivalent to Amazon MLU.
  • https://developers.google.com/machine-learning/crash-course/
• Microsoft (Azure)
  • Microsoft Learn: AI School
  • I have not used it, but this is supposed to be their equivalent to Amazon MLU.
  • https://learn.microsoft.com/en-us/shows/ai-show/overview-of-the-microsoft-ai-school

Link Dump

• Government NAIRR
  • https://new.nsf.gov/focus-areas/artificial-intelligence/nairr
  • https://nairrpilot.org/
• Image Classification with HOG: https://kapernikov.com/tutorial-image-classification-with-scikit-learn/