Let’s be honest, today “big data” is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recomme...
This is our second post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for i...
Today I would like to share some of the elements I covered as part of the Data Science for Internet of Things courseat the Department of Continued Education of the Uni...
This tutorial is full of useful links, references, and comments. It is organized as follows: Content Why Python? Step 1: Learning the basics Books Step 2: Basic stats and...
This article comes from Coursera Blog. The Data Buzz series brings you a regular roundup of what’s trending in data science. As data-driven technologies are more and mo...
Why Python? Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. Data Scientist mine thru t...
Is everyone a ‘data scientist’? What about ‘data engineers’ and the junior versus senior, or skill level distinctions? We do seem to need some agreement about tit...
This article was written by Radhouane Aniba. How to pick a Data Science book : Choosing a data science book is one of the important steps to properly learn from the exp...
So here are my three principle experiences you won’t effectively discover in books. 1. Evaluation Is Key The main goal in data analysis/machine learning/data scienc...
Target corporation’s massively profitable data science project threw them into the news spotlight a few years back. Their story makes for a valuable case study in brid...