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

Human brain and Ontology


While there are advances in our understanding of how the human brain functions, the storage and processing mechanism of the brain is far from fully understood. We receive hundreds and thousands of sensory inputs throughout a day, and if we process and store every bit of this information, the human brain will be overwhelmed and will be unable to understand the context and respond in a meaningful way. The human brain applies filters to the sensory input it receives continuously. It is understood that there are three compartments to human memory:

  • Sensory memory: This is the first-level memory, and the majority of the information is flushed within milliseconds. Consider, for example, when we are driving a car. We encounter thousands of objects and sounds on the way, and most of this input is utilized for the function of driving. Beyond the frame of reference in time, most of the input is forgotten and never stored in memory.
  • Short-term memory: This is used for the information...