Fundamentals and methods of machine and deep learning : (Record no. 12864)
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| control field | on1297039923 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240523125543.0 |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| fixed length control field | 220216s2022 mau o 001 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DG1 |
| Language of cataloging | eng |
| Description conventions | rda |
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| Transcribing agency | DG1 |
| Modifying agency | OCLCO |
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| -- | OCLCO |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119821908 |
| Qualifying information | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119821908 |
| Qualifying information | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119821885 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119821886 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781119821250 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119821908 |
| Source of number or code | doi |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000071250361 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1297039923 |
| 037 ## - SOURCE OF ACQUISITION | |
| Stock number | 9781119821250 |
| Source of stock number/acquisition | O'Reilly Media |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3/1 |
| Edition number | 23 |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | MAIN |
| 245 00 - TITLE STATEMENT | |
| Title | Fundamentals and methods of machine and deep learning : |
| Remainder of title | algorithms, tools and applications / |
| Statement of responsibility, etc. | edited by Pradeep Singh. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Beverly, MA : |
| Name of producer, publisher, distributor, manufacturer | Scrivener Publishing ; |
| Place of production, publication, distribution, manufacture | Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer | Wiley, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Front Matter -- Supervised Machine Learning: Algorithms and Applications / Shruthi H Shetty, Sumiksha Shetty, Chandra Singh, Ashwath Rao -- Zonotic Diseases Detection Using Ensemble Machine Learning Algorithms / K Bhargavi -- Model Evaluation / Ravi Shekhar Tiwari -- Analysis of M-SEIR and LSTM Models for the Prediction of COVID-19 Using RMSLE / S Archith, C Yukta, HR Archana, HH Surendra -- The Significance of Feature Selection Techniques in Machine Learning / N Bharathi, BS Rishiikeshwer, T Aswin Shriram, B Santhi, GR Brindha -- Use of Machine Learning and Deep Learning in Healthcare-A Review on Disease Prediction System / R Radha, R Gopalakrishnan -- Detection of Diabetic Retinopathy Using Ensemble Learning Techniques / Anirban Dutta, Parul Agarwal, Anushka Mittal, Shishir Khandelwal, Shikha Mehta -- Machine Learning and Deep Learning for Medical Analysis-A Case Study on Heart Disease Data / AM Swetha, B Santhi, GR Brindha -- A Novel Convolutional Neural Network Model to Predict Software Defects / Kumar Rajnish, Vandana Bhattacharjee, Mansi Gupta -- Predictive Analysis of Online Television Videos Using Machine Learning Algorithms / Jeyavadhanam B Rebecca, VV Ramalingam, V Sugumaran, D Rajkumar -- A Combinational Deep Learning Approach to Visually Evoked EEG-Based Image Classification / Nandini Kumari, Shamama Anwar, Vandana Bhattacharjee -- Application of Machine Learning Algorithms With Balancing Techniques for Credit Card Fraud Detection: A Comparative Analysis / Shiksha -- Crack Detection in Civil Structures Using Deep Learning / Bijimalla Shiva Vamshi Krishna, BS Rishiikeshwer, J Sanjay Raju, N Bharathi, C Venkatasubramanian, GR Brindha -- Measuring Urban Sprawl Using Machine Learning / Keerti Kulkarni, P A Vijaya -- Application of Deep Learning Algorithms in Medical Image Processing: A Survey / B Santhi, AM Swetha, AM Ashutosh -- Simulation of Self-Driving Cars Using Deep Learning / M K Rahul, Praveen L Uppunda, Raju S Vinayaka, B Sumukh, C Gururaj -- Assistive Technologies for Visual, Hearing, and Speech Impairments: Machine Learning and Deep Learning Solutions / K C Shahira, C J Sruthi, A Lijiya -- Case Studies: Deep Learning in Remote Sensing / Jenifer A Emily, N Sudha -- Index |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | John Wiley and Sons |
| Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Apprentissage automatique. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| Source of heading or term | fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Singh, Pradeep, |
| Relator term | editor. |
| 758 ## - RESOURCE IDENTIFIER | |
| Relationship information | has work: |
| Label | FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING (Text) |
| Real World Object URI | https://id.oclc.org/worldcat/entity/E39PCXY94Wthch7yrmBCtqbtGb |
| Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119821908">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119821908</a> |
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