— In the News —
In another landmark achievement, an AI bot has defeated elite human professionals in six-player no-limit Texas Hold'em poker. This post on Facebook's AI blog examines why this is a big deal and how it works.
The blossoming tech scene in Africa may surprise people who work in established tech hubs but for anyone looking for tough challenges, Africa is a great place to be.
— Tools and Techniques —
Kevin Markham, founder of Data School, shares 25 tricks that will help you to work faster and write better pandas code. These are some of the best tricks he's learned over 5 years of teaching Python's pandas library.
How many sets of five complementary items can you recommend from 10,000 distinct items? This isn't your typical recommendation problem.
Despite being commonly used in statistics and machine learning, many people get confused about the details of how logistic regression actually works. In this post, Will Kurt offers some useful insights by showing how to derive logistic regression from Bayes' theorem.
Vettery specializes in tech roles and is completely free for job seekers. Interested? Submit your profile, and if accepted onto the platform, you can receive interview requests directly from top companies growing their data science teams.
— Resources —
This collection of NLP papers offers a great foundation for this fast moving field. Each listing includes a useful summary and game-changing papers are clearly identified. Curated by Mihail Eric, an ML scientist for Amazon Alexa who previously worked as a researcher in Stanford's Natural Language Processing Group.
— Data Viz —
Great post by Will Chase that walks through the development of his VizRisk Challenge entry. Starts with his idea development process and continues through research and coding. His submitted interactive project reveals how one earthquake can trigger another on the other side of the world.
Data visualization style guides aren't just about data. And they aren't just about design either. In this post, Amy Cesal explores a variety of data visualization style guides and the aspects that make each one unique and important. Includes lots of screenshots and links.