Comment on Probabilistic Machine Learning: An IntroductionparentComments−amkkma5yBut does it aid in understanding regular models, as they might have a bayesian interpretation?−master_yoda_15yYeh for sure, but it's an overkill. It's like reading quantum mechanics to understand Newtonian mechanics. If you want to get a feel of bayesian ml here is an easier book, "Regression and Other Stories" https://avehtari.github.io/ROS-Examples/−amkkma5yThanks. How's that relate to Gelman's BDA or statistical rethinking?−master_yoda_15yBda is more advanced version of this book. Stats rethinking is also good and one can start from scratch as it has more code and less maths.−dklend1225yTy
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But does it aid in understanding regular models, as they might have a bayesian interpretation?
Yeh for sure, but it's an overkill. It's like reading quantum mechanics to understand Newtonian mechanics. If you want to get a feel of bayesian ml here is an easier book, "Regression and Other Stories" https://avehtari.github.io/ROS-Examples/
Thanks. How's that relate to Gelman's BDA or statistical rethinking?
Bda is more advanced version of this book. Stats rethinking is also good and one can start from scratch as it has more code and less maths.
Ty