With the subtitle Probabilistic Programming and Bayesian Inference, Cameron Davidson-Pilon illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.
<ASIN:0133902838>
Author: Cameron Davidson-Pilon Publisher: Addison-Wesley Date: October 2, 2015 Pages: 256 ISBN: 978-0133902839 Print: 0133902838 Kindle: B016060UHA
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This book sets out the case for why software architecture is more important than ever, and in p [ ... ]
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