Bayesian inference Using Gibbs Sampling 允许用户指定复杂的多层模型,并可使用MCMC算法来估计模型中的未知参数. We use DAGs to specify models. 这里只涉及简单的贝叶斯网络,具体学习可见: Carnegie Mellon University course 10-708, Spring 2017, Probabilistic Graphical Models Ref: http://www.cnblogs.com/Dzhouq…

链接:https://www.zhihu.com/question/20962240/answer/33438846   霍金曾经说过,你多写一个公式,就会少一半的读者. 还是用最经典的例子,掷骰子.假设我手里有三个不同的骰子.   <img src="https://pic4.zhimg.com/435fb8d2d675dc0be95aedf27…

Relevant Readable Links Name Interesting topic Comment Edwin Chen 非参贝叶斯   徐亦达老板 Dirichlet Process 学习目标:Dirichlet Process, HDP, HDP-HMM, IBP, CRM Alex Kendall Geometry and Uncertainty in Deep Learning for Computer Vision 语义分割 colah's blog Feature Visu…

学术潜规则: 概率图模型提出的意义在于将过去看似零散的topic/model以一种统一的方式串联了起来,它便于从整体上看待这些问题,而非具体解决了某个细节. 举个例子:梯度下降,并非解决神经网络收敛问题而专门提出的什么算法,其实是凸优化理论中的一部分.凸优化理论的作用就是概率图模型的贡献所在. 统计机器学习,有数学系角度的认识,也有计算机系角度的认识. 统计机器学习 - 张志华 该课程更偏向于数学系视角,所以课程中包含了大量的概率基础.但课程的top不够,但并非讲师不行,而是计算机系的学生并未系…

看上去不错的网站:http://iacs-courses.seas.harvard.edu/courses/am207/blog/lecture-18.html SciPy Cookbook:http://scipy-cookbook.readthedocs.io/items/KalmanFiltering.html 良心视频:卡尔曼滤波器的原理以及在matlab中的实现 讲解思路貌似是在已知迭代结果的基础上做讲解,不是很透彻. 1. 用矩阵表示 2. 本质就是:二维高斯的协方差与samplin…

Octave是一个旨在提供与Matlab语法兼容的开放源代码科学计算及数值分析的工具,是Matlab商业软件的一个强有力的竞争产品. 参考:[ML:Octave Installation] General Installation files for all platforms are available at the GNU Octave Repository on SourceForge. The Gnu Octave Wiki has installation instructions f…

1. Python Of course you will need Python. Still Python 2.7 is preferred, however if you would like to create new projects with Python 3, it is also fine to do. Newest Python could be downloaded from https://www.python.org/downloads/ 2. pip It is a ve…

3.5. OperatorsThe usual arithmetic operators +, -, *, / are used in Java for addition, subtraction, multiplication, and division. The / operator denotes integer division if both arguments are integers, and floating-point division otherwise. Integer r…

原文来自于:http://thisinterestsme.com/php-best-practises/ There are a number of good practises that you should follow when developing web applications in PHP. Most of these are extremely easy to pick up and some of them will even apply to web application…

A curated list of awesome Delphi frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. Note that only open-source projects are considered. Dead projects are mainly ignored except for those which do not have alive analogs.…