Intelligent Techniques for Data Science

Intelligent Techniques for Data Science
Author: Rajendra Akerkar
Publisher: Springer
Total Pages: 282
Release: 2016-10-11
Genre: Computers
ISBN: 3319292064


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This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> 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. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.


Intelligent Techniques for Data Science
Language: en
Pages: 282
Authors: Rajendra Akerkar
Categories: Computers
Type: BOOK - Published: 2016-10-11 - Publisher: Springer

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This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of n
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
Language: en
Pages: 644
Authors: Xiaofei He
Categories: Computers
Type: BOOK - Published: 2015-10-13 - Publisher: Springer

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The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 201
Machine Learning and Big Data
Language: en
Pages: 544
Authors: Uma N. Dulhare
Categories: Computers
Type: BOOK - Published: 2020-09-01 - Publisher: John Wiley & Sons

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This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including thos
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques
Language: en
Pages:
Authors: Xiaofei He
Categories:
Type: BOOK - Published: 2015 - Publisher:

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning
Language: en
Pages: 455
Authors: Zhen Cui
Categories: Computers
Type: BOOK - Published: 2019-11-28 - Publisher: Springer Nature

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The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data Engineering, IScIDE 201