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...
| Publicado en: | Communications of the ACM Vol. 55; no. 10; pp. 78 - 88 |
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| Formato: | Artículo |
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Association for Computing Machinery
Oct2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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. |
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