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A Few Useful Things to Know About Machine Learning.

The author discusses machine learning, also known as predictive analytics or data mining, focusing on lessons for computer science researchers and the use of algorithms to perform computational tasks with more efficiency than manual computer programming. The author argues that all machine learning h...

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Published in:Communications of the ACM Vol. 55; no. 10; pp. 78 - 88
Main Author: Domingos, Pedro
Format: Article
Published: Association for Computing Machinery Oct2012
Subjects:
Machine learning
Machine theory
Computer science
Algorithms
Analysis of variance
Data mining
Online Access:View this record in EBSCOhost
Summary:The author discusses machine learning, also known as predictive analytics or data mining, focusing on lessons for computer science researchers and the use of algorithms to perform computational tasks with more efficiency than manual computer programming. The author argues that all machine learning has to do with representation, evaluation, and optimization. Topics include decision trees, probabilistic guarantees, overfitting, and bias and variance in generalization error. Bayesian model averaging (BMA), scalability, and Boolean domains are mentioned.