November 2016
Beginner to intermediate
941 pages
21h 55m
English
book
Python: Real World Machine Learning
by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
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Finding patterns in stock market data
Let's see how we can use unsupervised learning for stock market analysis. We will operate with the assumption that we don't know how many clusters there are. As we don't know the number of clusters, we will use an algorithm called Affinity Propagation to cluster. It tries to find a representative datapoint for each cluster in our data. It tries to find measures of similarity between pairs of datapoints and considers all our datapoints as potential representatives, also called exemplars, of their respective clusters. You can learn more about it at http://www.cs.columbia.edu/~delbert/docs/DDueck-thesis_small.pdf
In this recipe, we will analyze the stock market variations of companies in a specified duration ...
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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.