June 2024
Beginner to intermediate
552 pages
16h 11m
English
Content preview from Google Machine Learning and Generative AI for Solutions Architects
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6
Diving Deeper – Preparing and Processing Data for AI/ML Workloads on Google Cloud
In the previous chapter, we did some very rudimentary data exploration by looking at a few details relating to our dataset, using functions such as pandas.DataFrame.info() and pandas.DataFrame.head(). In this chapter, we will dive deeper into the realm of data exploration and preparation for data science workloads, as represented by the section highlighted in blue in the data science life-cycle diagram shown in Figure 6.1:
Figure 6.1: Data exploration and processing
In the early stages of a typical data science project, you would likely perform many of the ...
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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.