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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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Publisher: Addison-Wesley
Date: October 2024
Pages: 320
ISBN: 978-0137353484
Print: 0137353480
Kindle: B09RV3Z3TP
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank
This book looks in detail at coupling, the degree of interdependence between software modules, and how to use coupling [ ... ]
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Core Java for the Impatient, 3rd Ed
Authors: Cay S. Horstmann
Publisher: Addison Wesley
Pages: 576
ISBN: 9780138052102
Print: 0138052107
Kindle: B0B8RZZBDJ
Audience: Smart programmers wanting in-depth coverage
Rating: 4.8
Reviewer: Mike James
The key to this book is the word "impatient" in the title. What does this m [ ... ]
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