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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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Summary

In this chapter, we were introduced to cognitive computing as the next wave in the development of artificial intelligence. By leveraging the five primary human senses along with mind as the sixth sense, the new era of Cognitive Systems can be built. We have seen the stages of AI and the natural progression towards strong AI along with the key enablers for achieving strong AI.

We have also seen the history of Cognitive Systems and observed that the growth is accelerated with availability of big data, which brings large data volumes and the processing power in a distributed computing framework. While the human brain is far from being fully understood, the prospects are looking great with the pioneering work done by some of the large companies that have access to the largest volumes of digital data. The consistent push towards democratizing the AI by enabling AI as a service...

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