Yuan
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Yuan

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Yuan’s currently-reading shelf

Effective Java by Joshua Bloch Programming in Scala by Martin Odersky R for Data Science by Hadley Wickham Influence by Robert B. Cialdini Automate the Boring Stuff with Python by Albert Sweigart Writing Science by Joshua Schimel Made to Stick by Chip Heath Write It Up by Paul J. Silvia The Signal and the Noise by Nate Silver The Art of Strategy by Avinash K. Dixit Misbehaving by Richard H. Thaler
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The Missing READM...
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by Chris Riccomini (Goodreads Author)
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Deep Learning wit...
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Yuan’s Notes & Highlights

Book cover for Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science Book 122)
Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science Book 122) by Richard McElreath
5 notes & 57 highlights
In my experience teaching scientific programming, novices learn more quickly when they have working code to modify, rather than needing to write an algorithm from scratch.
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