April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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The nature of the cloud
ML projects are resource intensive. From storage to computational power, training models sometimes require resources that cannot be found on a simple standalone computer. Physical limitations in terms of storage have shrunk in recent years. As we now enjoy reliable terabyte storage accessible at reduced prices, storage is no longer an issue for most data projects that are not in the realm of big data. Computing power has also increased so much that what required expensive workstations a few years ago can now run on laptops.
However, despite all this amazingly rapid evolution, the power of the standalone PC is finite. There is an upper limit to the volume of data you can store on your machine and to the time you're ...
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