first course in probability

Hmm (a) hmm model of hidden Markov modelHmm (second) forward backward algorithm of hidden Markov model to evaluate the probability of observation sequenceHmm (three) Baum-Welch algorithm for hmm parameter (TODO) in hidden Markov modelHmm (four) Viterbi algorithm decoding hidden State sequence (TODO) by Hidden Markov modelIn hmm (a) hmm model of hidden Markov model, we talk about the basic knowledge of HMM and the three basic problems of Hmm, we focus

This article by leftnoteasy original, can be reproduced, but please keep the source and this line, if there is commercial purpose, please contact the author wheeleast@gmail.com I. Bayesian theorem: Bayesian Theorem explains common knowledge that everyone knows in life using mathematical methods The simplest theorem of form is often the best theorem, such as the central limit theorem. Such theorem often becomes the theoretical basis of a certain field. Machine LearningAlgorithmBayesian t

What is a project training course, and what is the difference between a professional course and what kind of person can learn the training course?

The probabilistic graphical model series is explained by Daphne Koller In the probabilistic graphical model of the Stanford open course. Https://class.coursera.org/pgm-2012-002/class/index) Main contents include (reprinted please indicate the original source http://blog.csdn.net/yangliuy) 1. probabilistic Graph Model Representation and deformation of Bayesian Networks and Markov networks. 2. Reasoning and inference methods, including Exact Inference (

a-robberies The aspiring Roy the robber has seen a lot of American movies, and knows the bad guys usually the gets Often because they become too greedy. He has decided to work in the lucrative business of bank robbery only for a short while, before retiring to a comfortable Job at a university. For a few months now, Roy has been assessing the security of various banks and the amount of cash they. He wants to make a calculated risk, and grab as much as possible. His mother, Ola, has decided up

The Monte Hall problem is a mathematical game problem derived from game theory. It is roughly from the TV game program "Let's Make a Deal ". The name of the question comes from Zhu's role as Monty.Hall ). In this game, contestants will see three closed doors, one of which is followed by a car. Then the contestant selects a door and the host opens one of the remaining two doors to reveal one goat. Afterwards, the host will ask the contestants if they want to change to another closed door. This is

course, strictly speaking, this analogy is not rigorous, but I would like to introduce a new concept with an easy-to-understand concept.Without proving the conclusion, two independent continuous random variables X1 and X2, subject to distribution probability density and distribution, then the probability density of random variable y=x1+x2 is,For the distribution

A logical question that has aroused national debate among college students across the country: Suppose you are playing a game program. Now you can choose from three doors: one door is behind a car, and the other two are behind a goat. Of course you want to get a valuable car, but you cannot see the real situation behind the door. The host asks you to make the first choice. After you select a door, you will know the host behind the other two doors and

Note : This is a task spanning several years, and the title can also be called "learning statistics from the To Do list." When I was distressed by P-values a few years ago, I didn't know what Python was, and then, after touching Python, I liked the language. Statistics as the basis of data science, want to do this work, this is always a way around the sill.In fact, from the middle school began to study statistics, the earliest write "positive" character recount (equivalent to find the majority),

 Original: http://blog.csdn.net/marvin521/article/details/11489453 04. Application Example of probability graph model A recent article "Deformable Model Fitting by regularized Landmark Mean-shift" in the Human Face detection algorithm in the speed and precision of the compromise reached a relatively good level, This technical report will explain the working principle of the algorithm and the related matting algorithm. Before this article, first of