2015 MachineLearningTrendsPerspectiv

• (Jordan & Mitchell, 2015) ⇒ Michael I. Jordan, and Tom M. Mitchell. (2015). “Machine Learning: Trends, Perspectives, and Prospects.” In: Science Journal, 349 (6245). doi:10.1126/science.aaa8415

Subject Headings: Machine Learning Research

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• http://scholar.google.com/scholar?q=%222015%22+Machine+Learning%3A+Trends%2C+Perspectives%2C+and+Prospects

Quotes

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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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 MachineLearningTrendsPerspectiv	Tom M. Mitchell Michael I. Jordan			Machine Learning: Trends, Perspectives, and Prospects				10.1126/science.aaa8415		2015