May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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Summary
In this chapter, we understood the fundamental theory of fuzzy logic. It is imperative that as we build intelligent machines with ever-growing volumes of data that is available from discrete sources in structured, unstructured, and semi-structured forms, machines need the ability to interface with the real world in the same way as human beings do. We do not need explicit mathematical input to make our decisions. In the same way, if we are able to interpret natural language and apply fuzzy techniques to computation, we will be able to create smart machines that really complement humans.
The mathematical theory of fuzzy systems is decades old. However, with the advent of massive data storage and processing frameworks, practical implementations ...
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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.