January 2019
Intermediate to advanced
378 pages
8h 27m
English
book
Python Machine Learning Blueprints - Second Edition
by Alexander Combs, Saurabh Chhajed, Michael Roman
Content preview from Python Machine Learning Blueprints - Second Edition
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Data science/machine learning workflow
Building machine learning applications, while similar in many respects to the standard engineering paradigm, differs in one crucial aspect: the need to work with data as a raw material. The success of your project will, in large part, depend on the quality of the data you acquire, as well as your handling of that data. And because working with data falls into the domain of data science, it is helpful to understand the data science workflow:
Data science workflow
The process involves these six steps in the following order:
- Acquisition
- Inspection
- Preparation
- Modeling
- Evaluation
- Deployment
Frequently, ...
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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.
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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.