Standardize the book recommendations section (#231)

1. Got rid of the "PyMC3 port of the book" in the book titles
2. Unlink the author in three bullets
3. Add author in one bullet 
4. Add description in one bullet 

To do: switch PyMC3 to PyMC, including in logo

Author: olgadk7

README.rst

@@ -53,11 +53,11 @@ If you already know about Bayesian statistics:
 Learn Bayesian statistics with a book together with PyMC3:
 ----------------------------------------------------------
 
--  `Probabilistic Programming and Bayesian Methods for Hackers <https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers>`__: Fantastic book with many applied code examples.
--  `PyMC3 port of the book "Doing Bayesian Data Analysis" by John Kruschke <https://github.com/aloctavodia/Doing_bayesian_data_analysis>`__ as well as the `second edition <https://github.com/JWarmenhoven/DBDA-python>`__: Principled introduction to Bayesian data analysis.
--  `PyMC3 port of the book "Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath <https://github.com/pymc-devs/resources/tree/master/Rethinking>`__
--  `PyMC3 port of the book "Bayesian Cognitive Modeling" by Michael Lee and EJ Wagenmakers <https://github.com/pymc-devs/resources/tree/master/BCM>`__: Focused on using Bayesian statistics in cognitive modeling.
--  `Bayesian Analysis with Python  <https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition>`__ (second edition) by Osvaldo Martin: Great introductory book. (`code <https://github.com/aloctavodia/BAP>`__ and errata).
+-  `Probabilistic Programming and Bayesian Methods for Hackers <https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers>`__ by Cameron Davidson-Pilon: Fantastic book with many applied code examples.
+-  `Doing Bayesian Data Analysis <https://github.com/aloctavodia/Doing_bayesian_data_analysis>`__ by John Kruschke, as well as the `second edition <https://github.com/JWarmenhoven/DBDA-python>`__: Principled introduction to Bayesian data analysis.
+-  `Statistical Rethinking: A Bayesian Course with Examples in R and Stan <https://github.com/pymc-devs/resources/tree/master/Rethinking>`__ by Richard McElreath: Comprehensive text on modeling choices and interpretations. 
+-  `Bayesian Cognitive Modeling <https://github.com/pymc-devs/resources/tree/master/BCM>`__ by Michael Lee and EJ Wagenmakers: Focused on using Bayesian statistics in cognitive modeling.
+-  `Bayesian Analysis with Python <https://www.packtpub.com/big-data-and-business-intelligence/bayesian-analysis-python-second-edition>`__ (second edition) by Osvaldo Martin: Great introductory book. (`code <https://github.com/aloctavodia/BAP>`__ and errata).
 
 PyMC3 talks
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