© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
B. WalshProductionizing AIhttps://doi.org/10.1007/978-1-4842-8817-7_4

4. Machine Learning on Cloud

Barry Walsh1  
(1)
Ely, UK
 

In terms of (Gartner) Hype Cycle transitions, Machine Learning has long since passed its “peak of inflated expectations,” but it remains the core AI technique in use in most businesses and organizations today.

Before embarking on an extended look at Deep Learning, we carry out in this chapter a quick refresher on Machine Learning with reference to applications on cloud. As mentioned in Chapter 1, it is expected readers have some grounding in Machine Learning already, so will assume a basic understanding of supervised and unsupervised ...

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