Statistical Philosopher, Brute Empiricist
Ann Arbor
Joined September 2016
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Michael Clark retweeted
From classic techniques to cutting-edge machine learning, data science models help uncover patterns and power smarter predictions. Check out our latest blog post for key insights from Michael Clark's book "Models Demystified": bit.ly/4hIwnic
Michael Clark retweeted
I hope @statsdatasci doesn't mind me announcing that this book will be published by Chapman and Hall/CRC likely in 2024.
I've been putting together a book on modeling that I hope will appeal to a wide range of audiences, with examples in Python/R.
You can check out the in-progress work at: m-clark.github.io/book-of-mo…. Hope you find it useful, and feedback is appreciated as we continue to work on it!
Michael Clark retweeted
Here are some helpful #guidelines for working with tabular #data buff.ly/3ZjT3fI #deeplearning #tabulardata
Michael Clark retweeted
New R package rmsb: Bayesian counterpart to the rms (regression modeling strategies) package now on CRAN. Uses pre-compiled @mcmc_stan code. Information including lots of examples at hbiostat.org/R/rmsb #rmscourse @vandy_biostat @VUDataScience
