Machine Learning Requires Machine Thinking | Ashish Bansal – Ashish Bansal's personal blog on topics related to machine learning, machine thinking, deep learning, NLP, recommendation systems and other topics.

The recently concluded Bay Area DL School (2016) organized by Andrew Ng, Samy Bengio, Pieter Abbeel, and Shubho Sengupta was…

Learn what KL divergence is through Python code examples. Understand how it is used in machine learning.

A tutorial on TensorFlow that takes it beyond the common simple code examples.

Recently concluded Bay Area DL School Organized by Andrew Ng, Samy Bengio, Pieter Abbeel and Shubho Sengupta was an excellent…

In the first part of self-driving cars, I talked about impacts to insurance and licensing regimes. There are some very…

In Part 1, we talked about some simple features that can be extracted from just the date fields. We extracted…

The technology world is abuzz with Big Data. Harvard Business Review dedicated their October 2012 issue to it. Advancement in…

In the past couple of years, there has been a lot of media coverage about Big Data in general and…

Feature engineering is a little overlooked but very important part of machine learning. It helps you get most out of…

Machine Learning Makes Predictions. AI Makes Decisions