2015 MachineLearningTrendsPerspectiv

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Subject Headings: Machine Learning Research

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Cited By

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Abstract

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today’s most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artificial intelligence and data science. Recent progress in machine learning has been driven both by the development of new learning algorithms and theory and by the ongoing explosion in the availability of online data and low-cost computation. The adoption of data-intensive machine-learning methods can be found throughout science, technology and commerce, leading to more evidence-based decision-making across many walks of life, including health care, manufacturing, education, financial modeling, policing, and marketing.

References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2015 MachineLearningTrendsPerspectivMichael I. Jordan
Tom M. Mitchell
Machine Learning: Trends, Perspectives, and Prospects10.1126/science.aaa84152015
AuthorMichael I. Jordan + and Tom M. Mitchell +
doi10.1126/science.aaa8415 +
titleMachine Learning: Trends, Perspectives, and Prospects +
year2015 +