January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Bayes network
Bayes network is a type of probabilistic graphical model that can be used to build models to address business problems. Applications of this are quite wide. For example, it can be used in anomaly detection, predictive modeling, diagnostics, automated insights, and many other applications.
It is totally understandable that a few words used here would have been alien to you till now. For example, what do we mean by graphical here?
A graph forms out of a set of nodes and edges. Nodes are represented by N={N1,N2…..Nn}, where independent variables are sitting at every node. Edges are the connectors between nodes. Edges can be denoted by E={E1, E2…..En} and can be of two types:
- Directed, represented by
- Undirected, represented by: ...
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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.
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.