Om avsnittet
This week I am joined by FM Nate Solon. Away from the board, FM Solon is a data scientist, which informs his work when blogging and writing about chess. Years ago he was a professional poker player, and to this day is a somewhat active chess player. He also works as a consultant for Chessable, a member of the Play Magnus Group.This discussion with Nate, about studying and improving at chess in the context of engines and computers, is one of the most fascinating and deep discussions I've ever hosted on the podcast. As someone who works with big data for my research job, it's exciting to learn that chess is really on the brink of an open-source data boom, where anyone can use Python and free databases to create different kinds of engines and methods to study chess. If you have an itch for data science, or want to hear two people nerd out about it, then this is the episode for you. I really want to thank FM Nate Solon for coming on the show earlier this week to record. This is one of my favorite episodes of 64: A Chess Podcast, and I'm going to use what Nate told me to create new ways for me to study chess :)As a reminder, I have a Youtube channel -- 64: A Chess Channel -- so check it out and please subscribe if you enjoyed this episode! You can also follow me on Twitter and Twitch :-) thanks again for listening to this week's episode of 64!If you like what you've heard this week and want to support my podcast financially, you can subscribe to my Patreon for as little as $1 a month!Thanks as always to Aimchess for sponsoring the podcast -- use code "DAVID30" to get 30% off of your first month with Aimchess!Don't forget to subscribe to FM Nate Solon's fantastic newsletter! We covered his articles about club-level opening explorations and touched upon his checklist for chess improvement.