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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Transforming Your Data
Real-world datasets are very varied: variables can be textual, numerical, or categorical, and observations can be missing, false, or wrong (outliers). To perform a proper data analysis, we will understand how to correctly parse data, clean it, and create an output matrix optimally built for machine learning analysis. To extract knowledge, it is essential that the reader is able to create an observation matrix using different techniques of data analysis and cleaning.
In this chapter, we'll present Cloud Dataprep, a service useful to preprocess the data, extract features, and clean up the records. We'll also cover Cloud Dataflow, a service to implement streaming and batch processing. We'll go into some practical details ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.