best probability books

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Machine Learning Theory and Practice (13) probability graph model 01

01 Brief Introduction The probability graph model is the product of the combination of graph theory and probability theory. It was created by Judea Pearl, a famous one. I like the probability graph model tool very much, it is a powerful multi-variable and visualized modeling tool for variable relations, mainly including two major directions: undirected graph mode

PHP Probability calculation function Summary _php skill

Actually send this blog feeling is not what to use, too simple, will people disdain to see, will not be a person's own brain also thought of. But look at their own blog has been so long no more, really distressed ~. A rough calculation of only the code of hydrology, will occupy the OSC at least more than 10 KB of database space, but, the thought of Luantan in the egg, also relieved. This is a very classical probability algorithm function:

"Reprint" The Best girl probability model

Maximum probability selection to "Best Girl" algorithmLet's say you're a boy, and God has 20 girls for you when you're 20-30 years old. These girls are willing to be your partner, but you can only choose one of them. The following conditions are selected:1. For you, these 20 girls can be sorted, that is, you can rank the quality of them afterwards, the first girl is the best for you, the 20th is the worst for you.2. The 20 girls do not appear in your

[Algorithm analysis] the algorithm that selects "Best Girl" as the maximum probability

? Algorithm analysis: An interesting question: First of all, I subconsciously think that I should first take a look at the comparison, but I don't want the best. Later, I saw on the Internet that the probability of such a strategy is quite high, first, review the complete online answer: Policy 1: Draw lots in advance and select the number one. For example, if the number of girls reaches 10th, the 10th girls who appear in your life will be identified

Understanding of the full probability formula and Bayesian Formula

Label: style SP problem BS text nbsp cannot be a C event Understanding of the full probability formula and Bayesian Formula How can I understand these two formulas? For example, if you apply for a scholarship from a school, you can only get this scholarship if you meet certain conditions. So what are the reasons for making it possible for you to receive a scholarship? 1. The probability of a scholarship is

The lottery probability algorithm of drawing program written by PHP

This article to share is the PHP winning probability algorithm, can be used for scraping cards, large turntable, such as lottery algorithm. The usage is very simple, the code has the detailed annotation explanation, a look is understood, has the need the small partner reference under. We finish the process of PHP backstage, PHP's main work is responsible for the allocation of prizes and the corresponding probabil

Books don't read, you want to succeed--book notes

books don't read, you want to succeed--book notesFirst, I want to change my life1. To leave the competitive environment, it is not enough to run without a stop, and it will take more than twice times to achieve it.2. If you run fast enough, you can't move forward. If you go to the mountains along the retrograde ladder, even if you are running forward, if the speed is not fast enough, the result will be stopped in situ.3. Not only the biological commun

Algorithm title------"A bucket of 100 white balls, 100 black balls, the last one is the probability of a black ball? 】

today to see an interesting topic, heard is "The beauty of programming" in a problem, instantly feel that they are a lot behind. Take out today and share my insights on this topic! The original problem: a bucket with 100 black balls, 100 white balls. Take the ball in the bucket in the following order:1. Take out 2 balls at a time;2. If the same color ball is put back a black ball;3. If the ball is a different color, put back a white ball.I was very excited to see the brain at first sight, isn't

HDU 4487 probability DP

It is simple to ask for the problem of state transfer equation; Dp[i][j][k] means walk I step to J position the rightmost position is k so it's easy to know k>=j; S: probability l go left probability R go right if k==j; Dp[i][j][k]=dp[i-1][j][k]*s+dp[i-1][j-1][k-1]*r+dp[i-1][j-1][k]*r; if k!=j; Dp[i][j][k]=dp[i-1][j][k]*s+dp[i-1][j-1][k]*r+sp[i-1][j+1][k]*r; If the N value reaches 1000 and dp[1001][2001][20

UVa 10759 Dice throwing: probability dp

10759-dice throwing Time limit:3.000 seconds Http://uva.onlinejudge.org/index.php?option=com_onlinejudgeItemid=8category=24page=show_problem problem=1700 N Common cubic dice are thrown. What is the probability this sum of all thrown dice are at least x? Input The input file contains several test cases. Each test case consists two integers n (1 Output For each line of input produce one line of output giving the requested

Space probability assessment and analysis tools-application and Public Security Industry

Spatial probability assessment and analysis tools 1. Spatial probability assessment analysis descriptionHere, the space probability refers to a probability of a thing happening somewhere. If there is such a proposition:A total of May cases occurred in the City in February 200, of which 16 occurred in Residential Area A

2015 Zhejiang problem I:no2 (probability problem, Bayesian formula)

Title Link: http://acm.zjut.edu.cn/onlinejudge/problem.php?cid=1101pid=8Surface: Problem I:no2 Time limit: 1 Sec Memory Limit: MB Submit: 342 Solved: 23 [Submit] [Status] [Web Board] DescriptionKnown to have a city of n people, the probability of having a zombie disease is p. You go to the test and check it out is positive. The doctor told you this test, the person who has the disease detects positive

Recommended Books [New Lindahua recommended book for machine learning circles]

Here is a list of books which I had read and feel it was worth recommending to friends who was interested in computer Scie nCE.Machine Learningpattern recognition and machine learningChristopher M. BishopA new treatment of classic machine learning topics, such as classification, regression, and time series analysis from a Ba Yesian perspective. It is a must read for people who intends to perform in Bayesian learning and probabilistic inference.Graphic

New Lindahua recommended Books for the machine learning Community [turn]

Recommended BooksHere is a list of books which I had read and feel it was worth recommending to friends who was interested in computer Scie nCE.Machine Learningpattern recognition and machine learningChristopher M. BishopA new treatment of classic machine learning topics, such as classification, regression, and time series analysis from a Ba Yesian perspective. It is a must read for people who intends to perform in Bayesian learning and probabilistic

KMP algorithm and a classic Probability Problem

Consider an event, which has two results with equal probability. For example, if a coin is thrown, the chances of front and back are equal. Now we want to know how long it will take for me to get a specific sequence if I keep throwing coins. Sequence 1: Negative, positive, and negativeSequence 2: Negative, positive, positive First, I threw a coin repeatedly until the last three throwing results form sequence 1. Then I wrote down how many times I threw

Common probability distributions: two-item distribution, beta distribution, Dirichlet distribution

Knowledge Points: Bernoulli distribution, two-item distribution, polynomial distribution, prior probability, posterior probability, conjugate distribution, beta distribution, beta-two-item distribution, negative two-item distribution, Dirichlet distribution, gamma function, distributionOne, Bernoulli distribution (Bernouli distribution)Also known as 0-1 distribution, refers to a randomized trial, with only

Probability Problem -- Monti Hall Problem

host picked goat 1. Conversion will win the car. The contestant picked a car and the host picked either of the two goats. Conversion will fail. In the first two cases, contestants can win the car by switching their options. The third case is the only one where contestants win by keeping their original selections. There are two of the three cases that win through conversion selection, so the probability of winning through conversion selection is 2

Machine learning--Probability map model (HOMEWORK:MCMC)

In addition to precise reasoning, we also have the means to solve the distribution of a single variable in a probability graph by non-precise inference. In many cases, the probability map can not be simplified into a cluster tree, or simplified the number of random variables in a single regiment after the formation of a cluster, resulting in the efficiency of the mission tree calibration is low. As an examp

PHP array based on probability returned algorithm

PHP array according to the probability returned algorithm now has a 9 key array: $ arrarray (, 9); I want: 1's return probability is 30% 2's return probability is 20% 3's return probability is 10% 4's return probability is 50% others no matter how this algorithm calculates -

Introduction to Probability Density Estimation

1, Probability density function In classifier design (especially Bayesian classifier), when the prior probability of a class and the probability density of a class are both known, determine the discriminant function and decision plane according to certain decision rules. However, in practice, the probability density o

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