I decided to convert some of the notebook content to Wiki so I can have true code/notebook/experimentation seperate from splash pages etc.

Doug's Machine Learning Notebooks

I'm new to machine learning - having gotten a bit interested in Jan or Feb 2018, and then dove in sometime after Ski Season in March/April. It has been a great journey -- the perfect mix of my love of technology, hardware, software, math, and experimentation. I started with Andrew Ng's coursera free course and have been putting up example exercises and analysis on here.

• Linear Regression
• Logistical Regression
• Feature Engineering
• Evaluating Google TensorFlow

Next planned sections:

• GPU vs CPU vs TPU evaluation
• Experience with PyTorch
• Experience with Amazon's Sage Maker
• Experience with Microsoft ML Studio
• Experience with h2o.ai
• Real world problems to solve / experiement with

Other key things I have been reading/watching:

• Lectures from folks like Ian Goodfellow and other Conference speakers
• Coursera's deeplearning.ai series (Andrew Ng's next courses)
• Various blogs on Medium and following some of the famous folks on Twitter like Jeff Dean
• Listening to Data Skeptic and ThisWeekInMachineLearningAndAI(TwimlAI) podcasts
• Random Youtube views not excluding Siraj Raval

Things I haven't done, but am considering:

• Getting on Kaggle for a competition
• Starting a Blog