JuliaCon 2021 has come and gone. I've finally finished getting through my backlog of talks to watch and wanted to share my favorites (that fall under the category of data science). Note that this is not an exhaustive list of "good talks". I'm merely highlighting the ones most applicable to the average data scientist and I hope you check out many more than just these listed here!
Each talk below is listed (in alphabetical order) along with its abstract as well as some of my own notes. I've also assigned a rating in terms of beginner-friendliness using the following scheme: