May 2019

Our Telecom Client was developing a Big Data Product that will profile demography (Age, Gender, Income, Ethnicity, Marital Status) of the visitors of the stores… Read More »Profiling Store Visitors

There are plenty of resources on the Internet to learn linear algebra or to get a refresher, including our own tutorial (here). Below are three… Read More »Three Books About the Mathematics of Data

Not to be confused with this free Microsoft book with same title. Data science underlies Amazon’s product recommender, LinkedIn’s People You Know feature, Pandora’s personalized radio… Read More »Upcoming Book: Foundations of Data science

By Avrim Blum, John Hopcroft, and Ravindran Kannan (2018).  Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compilers,… Read More »Free Book: Foundations of Data Science (from Microsoft Research Lab)

The following notes represent a complete, stand alone interpretation of Stanford’s machine learning course presented by Professor Andrew Ng and originally posted on the ml-class.org website during the fall… Read More »Lecture Notes by Andrew Ng : Full Set

I stumbled upon this book by chance, when searching for material about time series (probably the most interesting chapter in this collection.) The various chapters… Read More »Free Book: Statistics, Dataviz, and Data Cleaning with R

A free online version of the second edition of the book based on Stat 110, Introduction to Probability by Joe Blitzstein and Jessica Hwang, is now available here. Print… Read More »Free Textbook: Probability Course, Harvard University (Based on R)

This glossary defines general machine learning terms as well as terms specific to TensorFlow. Below is a small selection of the most popular entries. You… Read More »Google Machine Learning Glossary