Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
What this book covers
Chapter 1, Introducing the Google Cloud Platform, explores different services that may be useful to build a machine learning pipeline based on GCP.
Chapter 2, Google Compute Engine, helps you to create and fully manage your VM via both the online console and command-line tools, as well as how to implement a data science workflow and a Jupyter Notebook workspace.
Chapter 3, Google Cloud Storage, shows how to upload data and manage it using the services provided by the Google Cloud Platform.
Chapter 4, Querying Your Data with BigQuery, shows you how to query data from Google Storage and visualize it with Google Data Studio.
Chapter 5, Transforming Your Data, presents Dataprep, a service useful for preprocessing data, extracting ...
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