November 2018
Beginner to intermediate
182 pages
4h 48m
English
Content preview from Natural Language Processing with Python Quick Start Guide
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NLP workflow template
Some of us would love to work on Natural Language Processing for its sheer intellectual challenges – across research and engineering. To measure our progress, having a workflow with rough time estimates is really valuable. In this short section, we will briefly outline what a usual NLP or even most applied machine learning processes look like.
Most people I've learned from like to use a (roughly) five-step process:
- Understanding the problem
- Understanding and preparing data
- Quick wins: proof of concepts
- Iterating and improving the results
- Evaluation and deployment
This is just a process template. It has a lot of room for customization regarding the engineering culture in your company. Any of these steps can be broken ...
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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.