Science· 2015Q1· Review
Machine learning: Trends, perspectives, and prospects
- 9,681citations
- Q1SCImago
- 2015year
Short summary
Machine learning enables computers to improve through experience, driven by new algorithms, data availability, and computation, impacting diverse fields from healthcare to finance.
AI-generated from the title and abstract; the full text is not read.
Key points
- Machine learning empowers computers to enhance performance via experience.
- Growth is propelled by new algorithms, increased data, and cheaper computation.
- It sits at the nexus of computer science, statistics, AI, and data science.
- Applications span science, technology, commerce, healthcare, finance, and more.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Science, 2015 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science