reviewScienceJul 16, 2015Closed access

Machine learning: Trends, perspectives, and prospects

University of California, Berkeley · Carnegie Mellon University

PubMed
Indexed incrossrefpubmed

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,…

Citation impact

9,484
total citations
FWCI
231.94
Percentile
100%
References
32
Citations per year

Authors

2

Topics & keywords

Keywords
  • Intersection (aeronautics)
  • Computer science
  • Artificial intelligence
  • Core (optical fiber)
  • Data science
  • Machine learning
  • Big data
  • Computation
No related works found for this paper.