10 recommended articles about Naive Bayes

This article mainly introduces the relevant knowledge of how to use the Naive Bayes algorithm in Python. Has very good reference value. Let's take a look at it with the editor. Let me repeat here why the title is "use" instead of "implementation": First of all, the algorithms provided by professionals are higher in efficiency and accuracy than the algorithms we write ourselves. Secondly, for people who are not good at mathematics, it is very painful to study a bunch of formulas in order to implement the algorithm. Thirdly, there is no need to "reinvent the wheel" unless the algorithms provided by others cannot meet your needs. Let’s get back to the subject. If you don’t know the Bayesian algorithm, you can check the relevant information. Here is just a brief introduction: 1. Bayesian formula: P(A|B)=P(AB)/P(B) 2. Bayesian Sri Lankan inference: P(A|B)=P(A)×P(B|A)/P(B) expressed in words: posterior probability = prior probability × similarity/normalized constant and the Bayesian algorithm needs to solve The problem is how to find the similarity, that is: the value of P(B|A) 3. Three commonly used naive Bayes algorithms are provided in the scikit-learn package,

1. Details on how to use the Naive Bayes algorithm in python

##Introduction: This article mainly introduces Learn how to use the Naive Bayes algorithm in Python. Has very good reference value. Let’s take a look with the editor below

2. Introduction to how to use the naive Bayes algorithm in python

Introduction: This article explains in detail how to use the naive Bayes algorithm in python

3. Python implementation of Naive Bayes algorithm

##Introduction: Advantages and disadvantages of the algorithm Advantages: When there is less data It is still valid under the circumstances and can handle multi-category problems. Disadvantages: Sensitive to the preparation method of input data. Applicable data type: nominal data. Algorithm idea

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Naive Baye Python implementation of the Naive Bayes algorithm

Introduction: Python implementation of the Naive Bayes algorithm

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Naive Bayes (Naive Bayes algorithm) [Classification algorithm], naivebayes_PHP tutorial

Introduction: Naive Bayes (Naive Bayes algorithm) [Classification algorithm], naivebayes. Naive Bayes (Naive Bayes algorithm) [Classification algorithm], implementation of naivebayes Nave Bayes (Naive Bayes) classification algorithm (1) Introduction: (2) Algorithm description: (3) 1 ? php 2 /* 3 *Naive Bayes naive

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Implementation of Naive Bayes classifier (php)

Introduction: Naive Bayes Implementation of Si classifier (php) This article uses PHP to implement a naive Bayesian classifier, which performs Bayesian classification for records whose attribute values ​​are discrete variables. ? By learning the data in the sample.csv file, the classification model is obtained, and then the class indicators of the data in predict.csv are predicted. For each predicted data, the probability of belonging to each class is calculated, and then the class with the highest probability is the predicted class of the data. ? The attachment contains the program document

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Implementation of Naive Bayes Classifier (php)

Introduction: Implementation of Naive Bayes Classifier (php) This article uses PHP to implement a Naive Bayes classifier, which performs Bayesian classification on records whose attribute values ​​are discrete variables. ?By learning the data in the sample.csv file, obtain the classification model, and then predict the class indicators of the data in predict.csv. For each predicted data, the probability of belonging to each class is calculated, and then the class with the highest probability is the predicted class of the data. ?The attachment contains the program file: bys.

##8. Naive Bayes (Naive Bayes algorithm) [Classification algorithm], naivebayes

Introduction: Naive Bayes (Naive Bayes algorithm) [Classification algorithm], naivebayes. Naive Bayes (Naive Bayes algorithm) [Classification algorithm], implementation of naivebayes Nave Bayes (Naive Bayes) classification algorithm (1) Introduction: (2) Algorithm description: (3) 1 ? php 2 /* 3 *Naive Bayes simplicity

9. Tutorial on implementing Bayesian classifier machine learning from scratch using Python

Introduction : This article mainly introduces the tutorial of using Python to implement a Bayesian classifier from scratch. The Naive Bayes algorithm is a basic content in machine learning, practical and efficient. This article shows in detail the steps to implement it in Python language. What is needed Friends can refer to

10. Application of Naive Bayes Algorithm in Spam Filtering

Introduction: Since I was recently writing a paper on big data classification (complaining: the instructor reminds me every day), I borrowed several books about big data from the library. Today I read "New Internet Big Data Mining" (if you are interested, you can read it) and it mentioned spam filtering. It reminded me of an interview question from a famous company I saw in the 1280 community yesterday, "In real-time communication in games,

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