September 2017
Beginner to intermediate
270 pages
5h 53m
English
Content preview from Neural Networks with R
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The data cycle
The data forms a key component for model building and the learning process. The data needs to be collected, cleaned, converted, and then fed to the model for learning. The overall data life cycle is shown as follows:
One of the critical requirements for modeling is having good and balanced data. This helps in higher accuracy models and better usage of the available algorithms. A data scientist's time is mostly spent on cleansing the data before building the model.
We have seen the training and testing before deployment of the model. For testing, the results are captured as evaluation metrics, which helps us decide if we should ...
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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.