Machine learning applications : emerging trends

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges t...

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Bibliographic Details
Other Authors: Das, Rik, 1978- (Editor), Bhattacharyya, Siddhartha, (Editor), Nandy, Sudarshan, (Editor)
Format: eBook
Language: English
Published: Berlin ; Boston : Walter de Gruyter GmbH, [2020]
Series: De Gruyter frontiers in computational intelligence ; 5.
Subjects:
Machine learning.
elektronické knihy
electronic books
ISBN: 9783110610987
3110610981
3110608669
9783110608663
9783110608533
3110608537
Physical Description: 1 online resource (x, 135 pages)

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001 kn-on1153563321
003 OCoLC
005 20240717213016.0
006 m o d
007 cr cn|||||||||
008 200424s2020 gw fob z001 0 eng d
040 |a DEGRU  |b eng  |e rda  |e pn  |c DEGRU  |d YDX  |d EBLCP  |d YDXIT  |d N$T  |d OCLCF  |d OCLCQ  |d OCLCO  |d OCLCQ  |d DEGRU  |d OCLCO  |d OCLCL  |d PUL  |d UKAHL 
020 |a 9783110610987  |q (electronic book) 
020 |a 3110610981  |q (electronic book) 
020 |a 3110608669  |q (electronic book) 
020 |a 9783110608663  |q (electronic bk.) 
020 |z 9783110608533 
020 |z 3110608537 
024 7 |a 10.1515/9783110610987  |2 doi 
035 |a (OCoLC)1153563321  |z (OCoLC)1151189531 
041 7 |a eng  |2 iso639-3 
245 0 0 |a Machine learning applications :  |b emerging trends /  |c edited by Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy. 
264 1 |a Berlin ;  |a Boston :  |b Walter de Gruyter GmbH,  |c [2020] 
300 |a 1 online resource (x, 135 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a De Gruyter frontiers in computational intelligence ;  |v volume 5 
504 |a Includes bibliographical references and index. 
505 0 0 |t Frontmatter --  |t Dedication --  |t Preface --  |t Inhalt --  |t 1 A prologue to Emerging trends in Machine Learning --  |t 2 An Analysis on Non-linear Dimension Reduction Techniques --  |t 3 Application of Machine Learning in Music Analytics --  |t 4 A Comparative Analysis of Machine Learning Techniques for Odia Character Recognition --  |t 5 Pre Filtering with Rule Mining for Context Based Recommendation System --  |t 6 Early detection of crop diseases using machine Learning based intelligent techniques: a review --  |t 7 Conclusion --  |t Contributing authors --  |t Index 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Machine learning. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Das, Rik,  |d 1978-  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjt9pbqK3tMk4pJXw67Rw3 
700 1 |a Bhattacharyya, Siddhartha,  |e editor. 
700 1 |a Nandy, Sudarshan,  |e editor. 
776 0 8 |i Print version:  |z 9783110608663 
776 0 8 |i Print version:  |z 9783110608533 
830 0 |a De Gruyter frontiers in computational intelligence ;  |v 5. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpMLAET004/machine-learning-applications?kpromoter=marc  |y Full text 

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