Definition
Machine learning (ML) describes a wide array of algorithms that analyze data and enable a computer to make predictions.
Introduction
Machine learning (ML) describes a wide array of algorithms that analyze data and enable a computer to make predictions. Differing from traditional statistical analysis, which makes various assumptions about data, algorithms identified as machine learning typically let the data do the talking. ML at this point is coming to mean just about any automated system that learns from data, or which was created by learning from a data set, a so-called training set, and then used to make predications based on data not seen previously. Unlike a static program that takes data in and outputs an answer, a program using ML techniques takes data as input and based on the data can modify itself to be more effective at making predications and achieving its objective. Increasingly, ML techniques are used in some part of the automated systems with which users...
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References
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Further Readings
Hof, R. D. (2018). Deep Learning: With massive amounts of computational power, machines can now recognize objects in real time. MIT Technology Review. Available at https://www.technologyreview.com/s/513696/deep-learning/. Retrieved 5 April 2018.
Kleinberg, J., Ludwig, J., Mullainathan, S. (2016, December 8). A guide to solving practical problems with machine learning. Harvard Business Review. Available at https://hbr.org/2016/12/a-guide-to-solving-social-problems-with-machine-learning. Retrieved 1 March 2018
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Salane, D.E. (2019). Machine Learning. In: Shapiro, L., Maras, MH. (eds) Encyclopedia of Security and Emergency Management. Springer, Cham. https://doi.org/10.1007/978-3-319-69891-5_14-3
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DOI: https://doi.org/10.1007/978-3-319-69891-5_14-3
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Machine Learning- Published:
- 09 April 2019
DOI: https://doi.org/10.1007/978-3-319-69891-5_14-3
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Machine Learning
- Published:
- 12 November 2018
DOI: https://doi.org/10.1007/978-3-319-69891-5_14-2
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Machine Learning- Published:
- 24 August 2018
DOI: https://doi.org/10.1007/978-3-319-69891-5_14-1