Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
ML
So, near-instant availability, low cost, flexible architecture, and near-unlimited resources are the advantages of cloud computing, at the expense of extra overhead and recurring costs.
In the global landscape of cloud computing, the GCP is a public unmanaged IaaS cloud offering, with some PaaS and SaaS services. Although Azure and GCP are directly comparable for standard cloud services such as from computing (EC2, Cloud Compute, and so on), databases (BigQuery, Redshift, and so on), network, and so forth; the Google Cloud approach to ML is quite different than Amazon's or Azure's.
In short, AWS offers, either all-in-one services for very specific applications—face recognition and Alexa-related applications, or a predictive analytics platform ...
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