Predictive analytics for machine learning and deep learning

Tahajjat Begum

Chapter 10 in Handbook of Big Data Research Methods, 2023, pp 148-164 from Edward Elgar Publishing

Abstract: Predictive analytics, machine learning, and deep learning are inseparable as machine learning, and deep learning algorithms are used to automate predictive modeling to identify patterns, trends, or future outcomes. We can use different machine learning and deep learning techniques such as classifications, regressions, neural networks, clustering, and dimensionality reduction algorithms to create predictive models. As a result, a business can now predict customers buying behavior, detect fraudulent activity, diagnose health care issues, recommend content, and predict machine maintenance needs. In a nutshell, predictive analytics created a revolution in all sectors such as finance, healthcare, retail, manufacturing, etc.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Research Methods (search for similar items in EconPapers)
Date: 2023
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