In-depth reviews of machine learning courses:

[kexej28769@nongnue]

Statistically, most of us are average (ah, the bell curve/Gaussian distribution always gets to us). Since I’m not attached to any elitist sentiment, I can be real with you. Below is a high-level summary of my reviews of all the classes I took, along with a plan for how I would approach machine learning if I could start over. Click to expand each course for the full version with notes.


Starting.
Jason Maye's Machine Learning 101 slidedeck: 2 years of head banging, so you don't have to ↓
{ML} Recipes wi bahamas number data th Josh Gordon ↓
Google's Machine Learning Crash Course with TensorFlow APIs ↓
OCDevel's Machine Learning Guide Podcast ↓
Kaggle Machine Learning Track (Lesson 1) ↓
Ready to commit.
Fast.ai (Part 1 of 2) ↓
Hands-on Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems ↓. Draw your own conclusions.
What's next?
Once you’ve explained what you’re working on, why, and how it’s affecting your client’s business so far, you’ll want to outline what they can expect to see next. Let them know what your next course of action is and what you think is working (or not working) so they can be prepared for your next report. If you’re planning to optimize pages for keywords that aren’t currently ranking, or if you’re planning to explore some link building opportunities, make sure they’re aware!