All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.
Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

The Christmas Thief: A Novel

Posted by on Mar 8, 2018 in Insights, Thoughts | No Comments

Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]

An interaction with MBA (Marketing) graduates at Christ University, Bangalore

Black Lamb and Grey Falcon

“A picture is worth a thousand words.” However, it takes one seven words to say it. This was the message I started the session with, when I received an opportunity to interact with outgoing MBA (Marketing) graduates at Christ University last Thursday. The session, which included a talk and a workshop, was aimed at discussing […]

The role of Mahalanobis in emergence of Modern Statistics

The role of Mahalanobis in emergence of Modern Statistics

Posted by on Dec 27, 2017 in Insights, NYPD Red | No Comments

This article started as simply a transcript of a lecture by Stephen Stigler titled “Mathematical Statistics as a Global Enterprise” at Indian Statistical Institute (ISI) Delhi, commemorating the 125th birth year of Prasanta Chandra Mahalanobis. As I ruminated on what Stigler had to say about Mahalanobis and his role in the history and development of […]

Classification using higher order interactions: a hybrid approach

Classification using higher order interactions: a hybrid approach

For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision tree for identifying the significant interactions of the input variables and then, a feed forward neural network  […]

Power of Open data

Encore Provence: New Adventures in the South of France

    Air-Pollution in Delhi reached a severe level during the festive season. Post Diwali the air quality in Delhi worsened and the city was covered in smog with zero visibility, reaching an alarming level with air pollution at its peak. While the city is smothered with air pollution there is an urgent need to […]

A kick-start for my career

Poésie, 1900-1940 (Les Fiches de lecture d'Universalis)

Posted by on Nov 5, 2015 in Insights | No Comments

Hello, I’m Nipun, an intern at Juxt Smart Mandate (JSM).   I’m a programmer and enthusiatic tinkerer who loves to play around with electronic boards and computer programs. I’ve always wanted to find a platform where I can get to to work on innovation and problem-solving. In January 2015 I was selected for the MIT […]