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

Cognitive science


In our quest to build intelligent machines, we are attempting to build capabilities that match and for the most part mimic the human brain and the sensory organs. There are five senses and primary organs corresponding to each through which we perceive this world. The goal of cognitive science is to build these sensory capabilities in intelligent machines so that the interactions with them are natural and seamless:

  • Vision: To see the objects, understand their position in three primary dimensions, and also their movement along with time as the fourth dimension. While we use our eyes as an external interface for vision, everything else happens within the brain. By deploying principles of cognitive science, we are able to build intelligent systems that can see the objects and their movements with video cameras and create a mathematical model for converting the visual signal into a knowledge. 
  • Audition: With this sense, we hear various audio signals. The external interface to...