An Introduction to Information Theory

Link to my book review Takeaway: We see/hear/talk about “Information” in many contexts. In the last two decades or so, one can also go and make a career in the field of “Information” technology. But what is “Information” ? If someone talks about a certain subject for 10 minutes in English and 10 minutes in French, Is the “Information” same in both the instances?. Can we quantify the two instances in someway ?

Why econometricians need to learn new tricks

Here is a write-up by Hal R. Varian that talks about the deluge of data that makes it imperative for econometricians to equip themselves with “big data” skills. Some of the main points of the write-up are : Machine learning techniques such as decision trees, support vector machines, neural nets, deep learning and so on may allow for more effective ways to model complex relationships Data cleaning tools such as OpenRefine and Data Wrangler can be used to assist in data cleansing

A Mind for Numbers

This book is mainly targeted at high school / college kids who feel their learning efforts are not paying off, teachers who are on the look out for effective instruction techniques, parents who are concerned with their child’s academic results and want to do something about it. The author of the book, Dr. Barbara Oakley, has an interesting background. She served in the US army as a language translator before transitioning to academia.