Machine Learning For Dummies
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There are a number of different algorithms you can use for machine learning. However, finding the specific algorithm you want to know about can be difficult. This table provides you with the online location for information about the algorithms used in machine learning.
Algorithm Type Python/R URL
Naive Bayes Supervised classification, online learning
PCA Unsupervised
SVD Unsupervised
K-means Unsupervised
K-nearest Neighbors Supervised regression and classification
Linear Regression Supervised regression, online learning
Logistic Regression Supervised classification, online learning
Neural Networks Unsupervised Supervised regression and classification
Support Vector Machines Supervised regression and classification
Adaboost Supervised classification
Gradient Boosting Supervised regression and classification
Random Forest Supervised regression and classification

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About the book authors:

John Paul Mueller is a prolific freelance author and technical editor. He's covered everything from networking and home security to database management and heads-down programming.

Luca Massaron is a data scientist who specializes in organizing and interpreting big data, turning it into smart data with data mining and machine learning techniques.

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