# inverse chi square

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### Probability Theory and mathematical statistics,

Probability Theory and mathematical statistics,1. Random Events Deterministic phenomenon: a phenomenon that inevitably occurs under certain conditions is called a deterministic phenomenon. Features: conditions completely determine the

### Quick query of C language Algorithms

Chapter 1 Introduction 11.1 programming language Overview 11.1.1 machine language 11.1.2 assembly language 21.1.3 advanced language 21.1.4 C language 31.2 Advantages and Disadvantages of C language 41.2.1 advantages of C language 41.2.2

### Overview of Feature selection in machine learning

1. Background 1.1 questionsIn the practical application of machine learning, the number of features may be more, in which there may be irrelevant features, there may be correlations between features, easy to lead to the following consequences:(1)

### Text Classification and SVM

I have worked on some text mining projects, such as Webpage Classification, microblog sentiment analysis, and user comment mining. I also packaged libsvm and wrote the text classification software tmsvm. So here we will summarize some of the

### New Ket Network-"Jing Chi Technology Cup" 2018 south of the process design competition

Topic Link: Portal B-First-class bar (Tree-Path compression) Test Instructions: Give an n, indicating that there are N nodes 0~n,0 is the root node, and then give the number of n-1 to indicate that the parent node of node I nodes is given a Q, and

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### Machine Learning Basic Knowledge

Common Data Mining & machine learning knowledge (points)Basis (Basic):MSE (meansquare error mean square), LMS (Least meansquare min-squared), LSM (Least square Methods least squares), MLE (Maximum Likelihoodestimation Maximum likelihood estimation),

### Basic machine learning Algorithms

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

### Common knowledge points for machine learning &amp; Data Mining

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

### "Basics" Common machine learning &amp; data Mining knowledge points

Basis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation maximum likelihood estimation), QP (quadratic programming two-time plan), CP

### Common machine learning &amp; data Mining Knowledge points "turn"

Turn from:"Basics" Common machine learning & Data mining knowledge pointsBasis (Basic):MSE (Mean square error mean squared error), LMS (leastmean square min squared), LSM (Least square Methods least squares), MLE (Maximumlikelihood Estimation

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