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Would you mind giving some pointers of where to start? There is a wasteland of blogspam around the topic of getting started with ML and it’s hard to know what
by blackkat 2y ago
Would you mind giving some pointers of where to start?
There is a wasteland of blogspam around the topic of getting started with ML and it’s hard to know what is useful at the beginning.
- TechDebtDevin 2y agoIf I could go back I would start by reading Josh Starmer's Statquest Guide to Machine Learning, and then his guide to AI/Nueral Networks[0]. Starmer does the best job at explaining advanced ML topics in a very beginner friendly way, the books are literally written in the format of a children's book. Then just start tinkering. I got interested in ML because of sport's analytics and betting markets so I read a lot of papers on that topic and books similar to Bayesian Sports Models in R by Andrew Mack[1].Also, Jake VanderPlas's Python Data Science Handbook is good[2]. Ideally, find a vertical you're interested in where experts have applied ML and read their papers/books and work backwards from there. [0]: https://statquest.org/statquest-store/ https://statquest.org/statquest-store/ [1]: https://www.goodreads.com/book/show/216487475-bayesian-sports-models-in-r https://www.goodreads.com/book/show/216487475-bayesian-sport... [2]: https://www.oreilly.com/library/view/python-data-science/9781491912126/ https://www.oreilly.com/library/view/python-data-science/978...