July 2023
Intermediate to advanced
420 pages
10h 35m
English
Content preview from Data Wrangling on AWS
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Data Processing for Machine Learning with SageMaker Data Wrangler
In Chapter 4, we introduced you to SageMaker Data Wrangler, a purpose-built tool to process data for machine learning. We discussed why data processing for machine learning is such a critical component of the overall machine learning pipeline and some risks of working with unclean or raw data. We also covered the core capabilities of SageMaker Data Wrangler and how it is helpful to solve some key challenges involved in data processing for machine learning.
In this chapter, we will take things further by taking a practical step-by-step data flow to preprocess an example dataset for machine learning. We will start by taking an example dataset that comes preloaded with SageMaker ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.