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      Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

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          A Survey on Transfer Learning

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            Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review

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              Machine learning: Trends, perspectives, and prospects.

              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.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of Intelligent Manufacturing
                J Intell Manuf
                Springer Science and Business Media LLC
                0956-5515
                1572-8145
                August 2020
                January 11 2020
                August 2020
                : 31
                : 6
                : 1531-1558
                Article
                10.1007/s10845-019-01531-7
                bcbaf3da-57be-4ebf-9a23-ea1da4dca409
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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