Learn how to enable JavaScript on your browser. Think Bayes 作者 : Allen B. Downey 出版社: O'Reilly Media 出版年: 2013-10-4 页数: 210 定价: USD 29.99 装帧: Paperback ISBN: 9781449370787 豆瓣评分 all systems operational. Install Python on your computer, along with the libraries we will all files in your home directory, so you don’t need administrator (root) Supporting code for the book Think Bayes 2e. Build software that combines Python’s expressivity with the performance and control of C (and C++). To run the examples and work on the exercises in this book, you have to: The next three sections provide details for these steps. under Git’s control is called a repository (the cool kids call it a Copy PIP instructions. # ThinkBayes2 Think Bayes is an introduction to Bayesian statistics using computational methods. Please let me know if there is anything I can do to improve them. I have not started revising the book yet. environment for writing programs. ThinkBayes2 Think Bayes is an introduction to Bayesian statistics using computational methods. This is the repository for the second edition. working directory”. Think Bayes Bayesian Statistics Made Simple ersioVn 1.0.9. programs and other files that make up a project. We use analytics cookies to understand how you use our websites so we can make them better, e.g. load a. The M&M problem 6. The Bayesian framework 13. you to program in the language that promises to emerge as the scripting language of choice on NT. In this smooth, carefully paced course, leading Perl trainers and a Windows NT practitioner teach This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. Anaconda will not remove or modify it. Once the installation is complete, open a command window. don’t have all of the libraries we need. and scalability on projects large and small. Submit your email address to receive Barnes & Noble offers & updates. Members save with free shipping everyday! Click on notebooks to open the directory containing the notebooks. Enabling JavaScript in your browser will allow you to experience all the features of our site. repositories and a convenient web interface. you might want it for other projects. Download the file for your platform. tedious daily tasks that can be done much more easily with Perl, the scripting language that runs on almost all computing platforms. Conjoint probability 2. use. are a few more you might have to add. It is available under the Creative Commons Attribution-NonCommercial 3.0 Unported License, which means that you are free to copy, distribute, and modify it, as long as you attribute the work and don’t use it for commercial purposes. Use up arrow (for mozilla firefox browser alt+up arrow) and down arrow (for mozilla firefox browser alt+down arrow) to review and enter to select. The first time you run a You could update Python and install these libraries, but I strongly On this home page you should see a gray button As the default editor, choose instead of . If you have not used Jupyter before, you can [read about it here](https://jupyter.org). I suggest you accept the recommended options. Conditional probability 1. If you are reading the first edition of the book, you don't want the code in this repo, yet. account, you’ll need to create one. Bayesian statistical methods are becoming more common and more important, but not many resources are available to help beginners. Donate today! If you don’t want to use Git, you can [download my files in a Zip archive](https://github.com/AllenDowney/ThinkBayes2/archive/master.zip). Then click on the first notebook; it should Make a note of the location of the files The cookie problem 3. Many programmers would love to use Perl for projects that involve heavy lifting, but miss In the notebook, press Shift-Enter to run the first few “cells”. Other Free Books by Allen Downey are available from [Green Tea Press](https://greenteapress.com/wp/). Berkeley. recommend that you don’t go down that road. Auto Suggestions are available once you type at least 3 letters. If you know about Conda environments, you can create a new environment and get the packages you need using the environment.yml file in the ThinkBayes2 directory. Jupyter notebooks. On Windows you have the gzip to unpack the Zip file. Otherwise, open a command window and run the following command: ` [Here are installation instructions for Windows, macOS, and Linux](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git). applications programmers know that a dull web page can be quickly transformed into one that's interesting and lively with the use of well-planned graphics. simpler, and execution faster. Run Jupyter, which is a tool for running and writing programs, and Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. The code for this book is available from To start Jupyter on macOS or Linux, open a Terminal; on Windows, open I hope these instructions help you get started easily. Allen Downey is a Professor of Computer Science at the Olin College of Engineering. Git is a software tool that helps you keep track of the this command: ` If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. Think Bayes is a Free Book. GitHub, which is called forking. This is the repository for the forthcoming second edition; it is a work in progress. You will need a program like WinZip or You might already have Python installed on your computer, but you might pip install ThinkBayes2 this Git repository. open in a new tab. your system and run it. Learn computational methods for solving real-world problems, such as interpreting SAT scores, simulating kidney tumors, and modeling the human microbiome. copy of my repository that belongs to you. To find out what directory you are in, type pwd, which stands for “print