January 2019
Intermediate to advanced
342 pages
9h 17m
English
Content preview from Intelligent Projects Using Python
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Collaborative filtering implementation using RBM
In the next few sections, we will be implementing a collaborative filtering system using a restricted Boltzmann machine with the technical principles laid out in the earlier section. The dataset that we will be using is the MovieLens 100K dataset that contains ratings from one to five provided by users for different movies. The dataset can be downloaded from https://grouplens.org/datasets/movielens/100k/.
The TensorFlow implementation of this collaborative filtering system is laid out in the next few sections.
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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.