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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Fuzzy Systems
In the previous chapter, we saw an overview of the theory and techniques for building intelligent systems that are capable of processing natural language input. It is certain that there will be a growing demand for machines that can interact with human beings via natural language. In order for the systems to interpret the natural language input and react in the most reasonable and reliable way, the systems need a great degree of fuzziness. The biological brain can very easily deal with approximations in the input compared to the traditional logic we have built with computers. As an example, when we see a person, we can infer the quotient of oldness without explicitly knowing the age of the person. For example, if we see a a ...
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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.