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 are ac...
The following notes represent a complete, stand alone interpretation of Stanford’s machine learning course presented by Professor Andrew Ng and originally posted ...
By Avrim Blum, John Hopcroft, and Ravindran Kannan (2018). Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compile...
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, Pa...
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 interesting books found on...
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 can access this ...
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. Pri...
This article was written by David March. Data science has been around since mankind first did experiments and recorded data. It is only since the advent of big and hete...
Introduction Building data pipelines is a core component of data science at a startup. In order to build data products, you need to be able to collect data points from mi...
When you give customers advice that can help them save some money, they will pay you back with loyalty, which is priceless. Interesting fact: Fareboom users started spe...