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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Web deployments
This is the hackathon version, and more experienced engineers will notice that we neglect a lot of best practices in favor of saving developer time. In my defense, I did add pretty usable logging.
We will start from where we left off when we talked about text classification using machine learning methods. There are a few challenges that we left untouched:
- Model persistence: How can I write the model, data, and code to disk?
- Model loading and prediction: How can I load the model data and code from disk?
- Flask for REST endpoints: How can I expose the loaded model over the web?
If there is anything that you take away from this chapter, it should be the preceding three questions. If you have a clear and complete idea regarding ...
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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.
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.