I hope that, if nothing else, after taking this course you will have a continued interest in machine learning and data science. Here are a quick list of resources that are a combination of references and content aggregators that will help keep you “up-to-date.” Note that these are very opinionated, in other words, these are things David likes. These are by no means exhaustive. Just some things to think about. Maybe I should post this somewhere and keep it updated…

# Aggregators

If you follow a few people on Twitter, you end up staying pretty up to date with what’s going on. Remember these are people though, so they’re tweeting opinions. What they write is not gospel, but it is useful to know what is being discussed in the community.

• All-around R wizard. You’ve certainly used his packages. Works for RStudio.
• Jenny Bryan
• An early and leading data science educator. Now associated with RStudio
• David Robinson
• Data scientist at DataCamp, formerly StackOverflow. Also maintains a good blog. Famous for analyzing Trump’s tweets.
• Hilary Parker
• Data scientist at StitchFix, formerly Etsy. Has a podcast. Very much interested in data analysis.
• Andrej Karpathy
• Former instructor of CS 231n. Now Telsa, formerly OpenAI.
• Ian Goodfellow