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Download Intelligent Techniques for Data Science free book in PDF format. “Intelligent Techniques for Data Science 1st ed. 2016 Edition” is a modern artificial intelligence book that provides readers with the tools, techniques, and cases required to excel in real‐world applications.
Description of Intelligent Techniques for Data Science PDF
The Book “Intelligent Techniques for Data Science” is written on artificial intelligence. Two great programmers Rajendra Akerkar and Priti Srinivas Sajja are behind this book. Rajendra Akerkar is a professor of information technology at Western Norway Research Institute, Norway. He has 23 years of research and teaching experience in artificial intelligent systems, semantic technologies and big data science. His partner Dr. Priti Srinivas Sajja (b.1970) joined the faculty of the Department of Computer Science, Sardar Patel University, India in 1994 and is presently working as a Professor. Her research interests include knowledge-based systems, soft computing, multi-agent systems, and software engineering.
Their textbook provides readers with the tools, techniques, and cases required to excel with modern artificial intelligence methods. Many programming tactics and techniques related to artificial intelligence are discussed in details. The authors, discuss advantages and drawbacks of different approaches and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. It also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication, and tourism. You can also Download Mechanics of Materials: An Integrated Learning System by Timothy A. Philpot PDF Free.
Details About Intelligent Techniques for Data Science PDF
- Name: Intelligent Techniques for Data Science 1st ed. 2016 Edition
- Authors: Rajendra Akerkar, Priti Srinivas Sajja
- Publish Date: October 12, 2016
- Language: English
- Genere: Tech, Programming
- Format: PDF
- Size: 3.47 MB
- Pages: 279
- Price: Free
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