Data Mining

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ML algorithms are an evolution over normal algorithms. They make your programs “smarter”, by allowing them to automatically learn from the data you provide.

https://www.quora.com/How-do-you-explain-Machine-Learning-and-Data-Mining-to-non-Computer-Science-people

The top 10 algorithms used in data mining . This paper presents the top 10 data mining algorithms – C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.

http://www.cs.umd.edu/~samir/498/10Algorithms-08.pdf

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