prolouge

Author: Cam Davidson-Pilon

Prologue/Prologue.ipynb

@@ -11,9 +11,9 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "Probabilistic Programming and \n",
-      "======\n",
-      "Bayesian Methods for Hackers\n",
+      "Probabilistic Programming \n",
+      "========\n",
+      "and Bayesian Methods for Hackers\n",
       "========\n",
       "## *Using Python and PyMC*\n",
       "\n",
@@ -57,18 +57,40 @@
       "* [**Chapter 4: The Greatest Theorem Never Told**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb)\n",
       "    We explore an incredibly useful, and dangerous, theorem: The Law of Large Numbers. Examples include:\n",
       "    - Exploring a Kaggle dataset and the pitfalls of naive analysis\n",
+      "    - How to sort Reddit comments from best to worst (not as easy as you think)\n",
       "    \n",
       "* [**Chapter 5: Would you rather loss an arm or a leg?**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter5_LossFunctions/LossFunctions.ipynb)\n",
       "    The introduction of Loss functions and there (awesome) use in Bayesian methods.  Examples include:\n",
       "    - Solving the Price is Right's Showdown\n",
       "    - Optimizing financial predictions\n",
       "    - Winning solution to the Kaggle Dark World's competition.\n",
       "    \n",
-      "* Chapter 10: More PyMC Hackery\n",
-      "    We explore the gritty details of PyMC through code and examples. Examples include:\n",
+      "* **Chapter 6: Getting our *prior*-ities straight**\n",
+      "    Probably the most important chapter. We draw on expert opinions to answer questions like:\n",
+      "    \n",
+      "    - how do we pick priors?  \n",
+      "    - what is the relationship between data sample size and prior?\n",
+      "    \n",
+      "    We explore useful tips to be objective in analysis, and common pitfalls of priors. \n",
+      "   \n",
+      "* **Chapter X1: Bayesian Markov Models**\n",
+      "    \n",
+      "* **Chapter X2: Bayesian methods in Machine Learning** \n",
+      "    We explore how to resolve the overfitting problem plus popular ML methods. Also included are probablistic explainations of Ridge Regression and LASSO Regression.\n",
+      "    - Bayesian spam filtering plus *how to defeat Bayesian spam filtering*\n",
+      "    - Tim Saliman's winning solution to Kaggle's *Don't Overfit* problem \n",
+      "    \n",
+      "* **Chapter X3: More PyMC Hackery**\n",
+      "    We explore the gritty details of PyMC. Examples include:\n",
       "    -  Analysis on real-time GitHub repo stars and forks.\n",
       "\n",
+      "* **Chapter X4: Troubleshooting and debugging**\n",
       "\n",
+      "    \n",
+      "**More questions about PyMC?**\n",
+      "Please post your modeling, convergence, or any other PyMC question on [cross-validated](http://stats.stackexchange.com/), the statistcs stack-exchange.\n",
+      "    \n",
+      "    \n",
       "Using the book\n",
       "-------\n",
       "\n",
@@ -101,14 +123,15 @@
       "\n",
       "\n",
       "Thanks to all our contributing authors, including (in chronological order):\n",
-      "\n",
       "-  [Cameron Davidson-Pilon](http://www.camdp.com)\n",
       "-  [Stef Gibson](http://stefgibson.com)\n",
       "-  [Vincent Ohprecio](http://bigsnarf.wordpress.com/)\n",
       "-  [Lars Buitinck](https://github.com/larsman)\n",
       "-  [Paul Magwene](http://github.com/pmagwene) \n",
       "-  [Matthias Bussonnier](https://github.com/Carreau)\n",
       "-  [Jens Rantil](https://github.com/JensRantil)\n",
+      "-  [y-p](https://github.com/y-p)\n",
+      "-  [Ethan Brown](http://www.etano.net/)\n",
       "\n",
       "\n",
       "We would like to thank the Python community for building an amazing architecture. We would like to thank the \n",
@@ -150,7 +173,7 @@
       "Contact the main author, Cam Davidson-Pilon at [email protected] or [@cmrndp](https://twitter.com/cmrn_dp)\n",
       "\n",
       "\n",
-      "![Imgur](http://i.imgur.com/Zb79QZb.png)"
+      "![Imgur](http://i.imgur.com/Zb79QZb.png)\n"
      ]
     },
     {