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Javascript machine learning refers to what, I believe that many inexperienced people are helpless about this, this article summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

JS can also be used to play machine learning. natural language processing

Twitter-text-js: JavaScript implemented Twitter text processing library.

NLP.js: NLP tools written in javascript and coffeescript.

natural: Generic NLP tool under Node.

Knwl.js: Natural language processor written in JS.

Data analysis/data visualization

D3.js

High Charts

NVD3.js

dc.js

chartjs

dimple

amCharts

general machine learning

Convnet.js: JavaScript library for training deep learning models.

Clustering.js: Clustering algorithm implemented in JavaScript for Node.js and browsers.

Decision Trees: Decision trees implemented by Node.js, using the ID3 algorithm.

Node-fann: A library of fast artificial neural networks under Node.js.

Kmeans.js: Simple Javascript implementation of k-means algorithm for Node.js and browsers.

LDA.js: LDA topic modeling tool for Node.js.

Learning.js: JavaScript implementation of logistic regression/c4.5 decision trees.

Machine Learning: Node.js machine learning library.

Node-SVM: Support vector machine for Node.js.

Brain: Neural network implemented in JavaScript.

Bayesian-Bandit: Implementation of Bayesian Bandit algorithm for Node.js and browsers.

After reading the above, do you know what machine learning means in Javascript? If you still want to learn more skills or want to know more related content, welcome to pay attention to the industry information channel, thank you for reading!

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