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

Contributors

About the authors

Anand Deshpande is the Director of big data delivery at Datametica Solutions. He is responsible for partnering with clients on their data strategies and helps them become data-driven. He has extensive experience with big data ecosystem technologies. He has developed a special interest in data science, cognitive intelligence, and an algorithmic approach to data management and analytics. He is a regular speaker on data science and big data at various events.

 

This book and anything worthwhile in my life is possible only with the blessings of my spiritual Guru, parents, and in-laws; and with unconditional support and love from my wife, Mugdha, and daughters, Devyani and Sharvari. Thank you to my co-author, Manish Kumar, for his cooperation. Many thanks to Mr. Rajiv Gupta and Mr. Sunil Kakade for their support and mentoring. 

 

 

 

 

 

 

Manish Kumar is a Senior Technical Architect at Datametica Solutions. He has more than 11 years of industry experience in data management as a data, solutions, and product architect. He has extensive experience in building effective ETL pipelines, implementing security over Hadoop, implementing real-time data analytics solutions, and providing innovative and best possible solutions to data science problems. He is a regular speaker on big data and data science.

I would like to thank my parents, Dr. N.K. Singh and Dr. Rambha Singh, for their blessings. The time spent on this book has taken some precious time from my wife, Mrs. Swati Singh, and my adorable son, Lakshya Singh. I do not have enough words to thank my co-author and friend, Mr. Anand Deshpande. Niraj Kumar and Rajiv Gupta have my gratitude too.

About the reviewers

Albenzo Coletta is a senior software and system engineer in robotics, defense, avionics, and telecoms. He has a master's in computational robotics. He was an industrial researcher in AI, a designer for a robotic communications system for COMAU, and a business analyst. He designed a neuro-fuzzy system for financial problems (with Sannio University) and also designed a recommender system for a few key Italian editorial groups. He was also a consultant at UCID (Ministry of Economics and Finance). He developed a mobile human robotic interaction system.

 

 

Giancarlo Zaccone has more than 10 years, experience in managing research projects in scientific and industrial areas. He has worked as a researcher at the CNR, the National Research Council, in projects on parallel numerical computing, and in scientific visualization.

He is a senior software engineer at a consulting company, developing and testing software systems for space and defense applications. He holds a master's in physics from University of Naples Federico II and a 2nd-level PG master's in scientific computing from La Sapienza of Rome.

 

 

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