Preparing for a #MachineLearning #DataScience interview? One retweet - one theoretical interview question in the thread 👇 Feel free to give your answers Let's start! #100DaysOfCode #100DaysOfMLCode https://t.co/igapulUMJH... (more…)

Your entire Machine Learning life cycle in one platform. - MLReef/mlreef... (more…)

There are many facets to Machine Learning. As I started brushing up on the subject, I came across various “cheat sheets” that compactly… (more…)

The discovery process of building new theoretical physics models involves the dual aspect of both fitting to the existing experimental data and satisfying abstract theorists' criteria like beauty, naturalness, etc. We design loss functions for performing ... (more…)

Much advocacy of Haskell, in general, boils down to type-safety and elimination of bugs. How boring. My personal experience is that bugs are trickier in Haskell and I can write bad code in an extraordinary variety of ways. I don’t code in Haskell to help ... (more…)