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  • Book Overview & Buying Artificial Intelligence for Big Data
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Artificial Intelligence for Big Data

Artificial Intelligence for Big Data

By : Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
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Artificial Intelligence for Big Data

Artificial Intelligence for Big Data

5 (2)
By: Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone

Overview of this book

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Table of Contents (14 chapters)
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KEEL framework


KEEL (Knowledge Extraction based on Evolutionary Learning) is a framework that can be used for various tasks, which translates data into information into knowledge assets. KEEL specifically assesses evolutionary algorithms for data mining based on regression, classification, unsupervised learning, and so on. The ultimate feat of machine intelligence will be when the computer programs are able to read the text and interpret and understand it the way human beings do. With this capability, combined with exponentially growing brute force computing power, we will be able to create a knowledge system that will possess supernatural powers when it comes to applying that knowledge to various problems like Genome decoding, studies of antibodies and so on that have plagued humanity for centuries.

The KEEL framework and similar frameworks are taking us a step closer to that goal with the fundamental idea of automatically discovering knowledge from datasets using evolutionary algorithms...

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