Machine learning techniques and industry applications:
In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insi...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-898 DE-91 DE-1050 Volltext |
| Zusammenfassung: | In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations.Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development. |
| Beschreibung: | 1 Online-Ressource (xx, 307 Seiten) Illustrationen |
| ISBN: | 9798369352731 |
| DOI: | 10.4018/979-8-3693-5271-7 |
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| indexdate | 2024-12-17T19:01:35Z |
| institution | BVB |
| isbn | 9798369352731 |
| language | English |
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| physical | 1 Online-Ressource (xx, 307 Seiten) Illustrationen |
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| publisher | IGI Global |
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| series2 | Advances in computational intelligence and robotics (ACIR) book series |
| spelling | Machine learning techniques and industry applications Pramod Kumar Srivastava, Ashok Kumar Yadav Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xx, 307 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations.Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development. Machine learning Industrial applications Machine learning Methodology Srivastava, Pramod Kumar (DE-588)1236024192 edt Yadav, Ashok Kumar edt Erscheint auch als Druck-Ausgabe 979-8-3693-5271-7 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-5272-4 https://doi.org/10.4018/979-8-3693-5271-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Machine learning techniques and industry applications Machine learning Industrial applications Machine learning Methodology |
| title | Machine learning techniques and industry applications |
| title_auth | Machine learning techniques and industry applications |
| title_exact_search | Machine learning techniques and industry applications |
| title_full | Machine learning techniques and industry applications Pramod Kumar Srivastava, Ashok Kumar Yadav |
| title_fullStr | Machine learning techniques and industry applications Pramod Kumar Srivastava, Ashok Kumar Yadav |
| title_full_unstemmed | Machine learning techniques and industry applications Pramod Kumar Srivastava, Ashok Kumar Yadav |
| title_short | Machine learning techniques and industry applications |
| title_sort | machine learning techniques and industry applications |
| topic | Machine learning Industrial applications Machine learning Methodology |
| topic_facet | Machine learning Industrial applications Machine learning Methodology |
| url | https://doi.org/10.4018/979-8-3693-5271-7 |
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