Best data or ML related reads last year (2019)?

Hey data-minded folks!What did you read this year that you enjoyed or found useful? Feel free to put in books, blog posts, resources that helped you at work, anything at all. One book that I found really interesting is Cathy O'Neil's 2016 book Weapons on Math Destruction. I recommend it quite a bit to people who want to learn more about how algorithms can impact their daily life, and what type of biases those algorithms can have. O'Neil writes extremely clearly on this topic and it seemed to be to be extremely accessible to a non-technical audience (though I haven't talked with anyone who is not in this field about this, tbh).A resource that I'm excited about using in 2020 is: https://probabilitycourse.com/My partner found it for me, and I am definitely working on brushing up on my probability.A blog that I consistently love is Julia Silge's blog: https://juliasilge.com/blog/I use her blog for casual reading and for work-related reading. It's so good!And you?