— Insight —
Toph Tucker spent a few years doing data visualization work for Bloomberg Businessweek and then spent a few more years making charts for a financial analytics company. Along the way, he worked with a wide variety of data users and got an inside look at how people in the trenches think about their data.
A new kind of analysis using network science shows how some teams clearly stand out above the rest. Here's how it works and how the same approach could be used in other sports.
In his recent book, Rebooting AI, Gary Marcus separates the reality from the hype and offers a realistic view of how far AI has come and how far it has left to go. In this post, Matt Turck offers a nice overview of the book, including bulleted highlights and a half hour video of Gary introducing it at the recent Data Driven NYC event.
— How-to —
Great post about the semantics of SQL queries. If you work with SQL, this is a must-read that will help you think through what a variety of queries will return.
Learning SQL? Check out the SQL Murder Mysteries, which are now available in a browser so you don't need to install anything. If you're a beginner, start with the prompt_beginner file. If you're experienced, start with the prompt_experienced file.
— Resources —
Here's a great collection of resources for identifying birds by songs and calls. Includes datasets, papers, links to open source projects and competitions. This is via the Data is Plural newsletter, which is an awesome resource for discovering niche collections like this.