January 2024
Beginner
672 pages
18h 58m
English
Content preview from Statistics Slam DunkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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front matter
foreword
Data science begins with data. We gather data. We prepare data. And we use data in predictive models. The better the data, the better the models, whether they draw on traditional statistics or machine learning.
By creating new data and measures from original data and measures, by manipulating data, we enhance model performance and efficiency. This is the work of feature engineering.
Visualizations help us learn from data. They demonstrate relationships among variables. They suggest useful transformations. They point to modeling problems, outliers, and unusual patterns in data.
Put these together—data preparation, feature engineering, and visualization—and you have the essence of Gary Sutton’s Statistics Slam Dunk: Statistical ...
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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.