The links that I shared on Twitter this year reached an audience of more than 1000 clicks. This excuse was enough for me to create (yet another) year-end list with the most popular links I shared on Twitter in 2015.
It doesn’t come as a surprised that most of them are related to statistics and data science and also most of them were part of my list of data science and data analysis resources.
The central limit theorem explained with bunnies and dragons: https://t.co/kZOQQ4FlnO— José Luis López Pino (@jllopezpino) December 2, 2015
Introduction to Time Series Analysis (from the book Engineering Statistics) http://t.co/yeZo6Yglq6— José Luis López Pino (@jllopezpino) March 8, 2015
Video tutorials to learn how to use Python's scikit-learn library to perform machine learning: http://t.co/rQSWo5WmCw— José Luis López Pino (@jllopezpino) August 4, 2015
How to start data science initiatives in a lean and cost-effective way ? http://t.co/Pxt5qJSYMF— José Luis López Pino (@jllopezpino) July 15, 2015
Predicting consumer credit-risk performance at the beginning of the economic recession using machine learning: http://t.co/VXEJxOOHyN— José Luis López Pino (@jllopezpino) October 6, 2015
Some new cool features in Postgres 9.5: row-level security, upsert operations, more jsonb functions and faster sorts http://t.co/AmKtolYcdM— José Luis López Pino (@jllopezpino) October 3, 2015