— In the News —
"Data violence" is different than violence that happens in dark alleys but the impacts can be equally devastating. Data violence is generally inflicted by researchers, engineers, and data scientists - smart people, that generally don't think of themselves as violent. This thoughtful long-read dives into the issues with an eye towards helping people to be conscious in their careers.
Bill Benter did the impossible: He wrote an algorithm that couldn’t lose at the track. Close to a billion dollars later, he tells his story for the first time.
— Tools and Techniques —
Great summary of the key differences between machine learning and statistical modeling. It's worth understanding the nuances here. Even if you can use AI, that doesn't mean you should.
These are great visualizations to help you understand some of the more interesting functions for reshaping data with Pandas.
Pricing is a common problem faced by businesses, and one that can be addressed effectively by Bayesian statistical methods. This tutorial steps through a simple example and builds up the background that's needed for this approach. This tutorial is very well done.
fast.ai just released a new version of their super popular course, Cutting Edge Deep Learning for Coders. Each of the eight lessons includes a video, an interactive Jupyter notebook and a dedicated discussion thread on the fast.ai forums. This course contains all new material, it's free, online, and the prerequisites are fairly modest.
Skilled data scientists are in high demand and hard to hire these days. Here's a practical look at what it takes to attract them.
— Data Viz —
VisiData is an open-source tool that lets you quickly open, explore, summarize, and analyze datasets in your computer’s terminal. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources. This 5-part tutorial covers a variety of topics from beginner to advanced and includes helpful examples.
Useful thread and examples started by Mike Bostock, creator of D3.js and founder of the Observable platform.