Book Image

Artificial Intelligence for Big Data

By : Anand Deshpande, Manish Kumar
Book Image

Artificial Intelligence for Big Data

By: Anand Deshpande, Manish Kumar

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 (19 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Frequently asked questions


Q: Are ANNs exactly the same as the biological neurons in terms of information storage and processing?

A: Although it cannot be stated with 100% certainty that the ANNs are an exact replica in terms of memory and processing logic, there is evidence in medical science that the basic building block of a brain is a neuron, and neurons are interconnected. When the external stimulus is obtained or when is is generated by the involuntary processes, the neurons react by communicating with each other by the transmission of neurosignals. Although the functioning of the brain is very complex and far from fully understood, the theory of ANNs has been evolving and we are seeing a great deal of success in modeling some of the very complex problems that were not possible with traditional programming models. In order to make modern machines that possess the cognitive abilities of the human brain, there needs to be more research and a much better understanding of the biological...