list of machine learning algorithms

Machine learning is undoubtedly an important content in the field of data analysis now, people who engage in it work are in the usual work or manyor less will use machine learning algorithms.There are many algorithms for machine

characteristics of the learning, so that the classification is not allowed, for example, a special feature as a category of judging criteria, so that does not have a particular attribute of the data into this category. This is called fitting, English is called overfitting literal translation is over-matching, that is, matching is too thin, a bit too. To solve this problem, it is necessary to simplify the decision tree, to remove some of the character

(i) Understanding decision Trees1, decision tree Classification principleRecent surveys have shown that decision trees are also the most frequently used data mining algorithms, and the concept is simple. One of the most important reasons why a decision tree algorithm is so popular is that the user does not have to understand the machine learning algorithm, nor do

. 7.5 910.5 . 13.5]]# n Powers of each element of the matrix: n=2mymatrix1 = Mat ([[[1,2,3],[4,5,6],[7,8,9]])print power (mymatrix1,2 1 4 9] [[49 6481]]# matrix multiplied by matrix mymatrix1 = Mat ([[1,2,3],[4,5,6],[7,8,9 = Mat ([[[1],[2],[3]])print mymatrix1*mymatrix2 output: [[[][+][50]]# Transpose of the matrix mymatrix1 = Mat ([[[1,2,3],[4,5,6],[7,8,9]])print mymatrix1. The transpose of the # Matrix to the transpose of the T # Matrix print mymatrix1 output results as follow

Machine learning can be divided into several types according to different computational results. These different purposes determine that machine learning can be divided into different models and classifications in practical applications.As mentioned earlier , machine

equal to the distance between the other two. This red line is the hyperplane that SVM is looking for in two-dimensional situations. It is used for binary classification data. The point supporting the other two online is the so-called support vector. We can see that there is no sample in the middle of the hyperplane and the other two lines. After finding this hyperplane, we use the mathematical representation of the hyperplane data to perform binary classification of the sample data, which is th

Tags: basic machine learning Continue with the original algorithm: (5) Bayesian Method Bayesian algorithms are a class of algorithms based on Bayesian theorem. They are mainly used to solve classification and Regression Problems. Common algorithms include Naive Bayes, a

Tags: basic machine learning Based on the similarity of functions and forms of algorithms, we can classify algorithms, such as tree-based algorithms and neural network-based algorithms. Of course, the scope of