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Machine Learning

Software That Learns

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Disruptive Analytics

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Abstract

In Chapter Two, we surveyed the history of business analytics as a whole, noting that statistics and machine learning developed separately from data warehousing and business intelligence. In this chapter, we pick up where Chapter Two left off with a review of recent trends in machine learning: convergence, competitions, ensemble learning, scalability and deep learning. We devote a section of the chapter to deep learning basics, and with a survey of open source and commercial software for machine learning.

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Notes

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  1. Newton, Massachusetts, USA

    Thomas W. Dinsmore

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  1. Thomas W. Dinsmore
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© 2016 Thomas W. Dinsmore

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Dinsmore, T.W. (2016). Machine Learning. In: Disruptive Analytics. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1311-7_8

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