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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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C# Programming, 3rd Ed (In Easy Steps)
Author: Mike McGrath
Publisher: Easy Steps
Date: April 2022
Pages: 192
ISBN: 978-1840789737
Print: 1840789735
Kindle: B09WPBZZCV
Audience: C# developers
Rating: 5
Reviewer: Mike James
An easy guide to C# - what could be better.
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SQL Server 2022 Revealed
Author: Bob Ward
Publisher: Apress
Pages: 506
ISBN: 978-1484288931
Print:1484288939
Kindle: B0BLB4VJL9
Audience: DBAs & SQL devs
Rating: 5
Reviewer: Ian Stirk
This book aims to explain the new features in SQL Server 2022, how does it fare?
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