— In the News —
Data centers are power hungry and expensive to keep cool. So of course, submerging data centers in the ocean is a great idea - if it wasn't for all the water and waves and crustaceans. This is a great longread about the issues and how Microsoft is tackling the challenge anyway.
This new article by Steven Levy explores the work of Facebook's Applied Machine Learning group and shows how Facebook could not exist without AI.
12,000 data scientists were recently issued 1 million crypto-tokens to incentivize the construction of an artificial intelligence hedge fund. Here’s why.
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— Tools and Techniques —
Shirin Glander's latest tutorial shows how to run machine learning applications on a Spark cluster. This is a very well organized walk-through.
Google Spreadsheets probably wouldn't be your first choice for production use but they're flexible and can be great as quick, online data stores for non-critical uses. This post offers an easy way to programmatically interact with your spreadsheets using Python.
Tips and tricks for working with data using Python pandas and visualizing it with seaborn.
This tutorial introduces Spotify’s Web API for accessing detailed information about artists, albums, and song lyrics using R. Next, create a gloom index for analyzing sentiment. It's not perfect but it's a fun project that could be easily extended to other applications.
— Resources —
Curated collection of the 100 most important deep learning papers. This is a well-organized collection of "classics" that are worth reading regardless of their application domain.