A quick summary of Hobbs and Hooten's Bayesian Models, Chapter 2 -- Deterministic Models.
A quick summary of Hobbs and Hooten's Bayesian Models, Chapter 3 -- Principles of Probability.
A quick summary of Hobbs and Hooten's Bayesian Models, Chapter 1 -- Preview.
A place for books. Not sure full purpose yet.
I am just a stub for now. I may make this it’s own collection of walk throughs or it may just be a series of reviews. Not sure, preferences?
Current books within reach of my nightstand:
+ Hobbs and Hooten - Bayesian Models: A Statistical Primer for
Ecologists
+ Gelman - Baysian Data Analysis
+ Goodfellow - Deep Learning
+ Chollet - Deep Learning with Python
+ Raschka - Python Machine Learning
+ Lanz - Machine Learning with R
+ Auffarth - Machine Learning for Time-Series with Python
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