Blog
Two of my articles which appeared on KDnuggets can be read below:
- 7 Steps to Understanding Computer Vision
- Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey
A more recent post which I wrote as an IPython Notebook can be found in the link below:
Upcoming Posts:
- Maps with plot.ly
- How to solve the class imbalance problem in Machine Learning
- A short intro to t-sne plots
- Getting Started with Reinforcement Learning (with OpenAI's gym)
- A brief history of Computer Vision: things which kids these days didn't know about!
- Connection between Neuroscience and Deep Learning
- Compute the gradients of a simple function for Backpropagation Algorithm
- Ten terms to know in Reinforcement Learning