Over past year, I have seen quite a number of folks start with Data Science. And there are plenty of articles indicating the surface area of the entire domain. Many start, but few continue. Here, I try to list some traps that could stall an aspiring Data Scientist’s progress. As always, feel free to share any feedback you have.Continue reading “Machine Learning : How NOT to get started with Machine Learning.”
Recently, I gained some insight on Structuring Machine Learning projects. How I wish I had this insight when we did some experiments in ML domain in not so distant past. Anyways, I wouldn’t want anybody else to get hit by the same stones, so below is a crux of what I think I have understood.Continue reading “Re-Structuring Machine Learning Execution”
If you are thinking of starting ML, without a doubt Andrew Ng’s Course on Coursera. is the best place to start.
However, a couple of things below that should ease your journey.
- Make sure you complete at least 4 Weeks. The first 2 assignments are the mountain that you must scale before witnessing the beautiful horizons of ML.