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Applications of Machine Learning and Deep Learning on Biological Data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 49.13
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Applications of machine learning and deep learning on biological data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Condition: New. pages cm.
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Applications of Machine Learning and Deep Learning on Biological Data (Advances in Computational Collective Intelligence)
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Applications of Machine Learning and Deep Learning on Biological Data (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
Paperback. Condition: new. Paperback. The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include:Artificial Intelligence in treating and diagnosing schizophreniaAn analysis of MLs and DLs financial effect on healthcareAn XGBoost-based classification method for breast cancer classificationUsing ML to predict squamous diseasesML and DL applications in genomics and proteomicsApplying ML and DL to biological data This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
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System Assurances: Modeling and Management (Emerging Methodologies and Applications in Modelling, Identification and Control)
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System Assurances : Modeling and Management
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System Assurances: Modeling and Management (Emerging Methodologies and Applications in Modelling, Identification and Control)
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Applications of machine learning and deep learning on biological data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
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System Assurances : Modeling and Management
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System Assurances: Modelling and Management
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323902405 ISBN 13: 9780323902403
Language: English
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![Stock image for Smart Cities: A Data Analytics Perspective (Lecture Notes in Intelligent Transportation and Infrastructure) [Hardcover] Khan, Mohammad Ayoub; Algarni, Fahad and Quasim, Mohammad Tabrez for sale by SpringBooks](https://pictures.abebooks.com/isbn/9783030609214-uk-300.jpg)
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
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Applications of machine learning and deep learning on biological data
Published by Auerbach Publications, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
£ 65.79
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
£ 62.54
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Add to basketTaschenbuch. Condition: Neu. Neuware - This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.
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System Assurances: Modeling and Management
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323902405 ISBN 13: 9780323902403
Language: English
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Paperback. Condition: Brand New. 210 pages. 9.18x6.12x9.21 inches. In Stock.
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System Assurances: Modeling and Management
Published by Elsevier Science & Technology, 2022
ISBN 10: 0323902405 ISBN 13: 9780323902403
Language: English
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System Assurances: Modelling and Management
Published by Elsevier Science & Technology|Academic Press, 2022
ISBN 10: 0323902405 ISBN 13: 9780323902403
Language: English
£ 67.51
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Add to basketCondition: New. System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today s debugging team s point-of-view, along with information on p.
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Applications of Machine Learning and Deep Learning on Biological Data
Published by Auerbach Publications, 2023
ISBN 10: 1032214376 ISBN 13: 9781032214375
Language: English
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Applications of Machine Learning and Deep Learning on Biological Data (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032358262 ISBN 13: 9781032358260
Language: English
£ 61.06
Convert currency£ 37.15 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The automated learning of machines characterizes machine learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and deep learning (DL) have increased the speed and efficacy of programming such algorithms.Applications of Machine Learning and Deep Learning on Biological Data is an examination of applying ML and DL to such areas as proteomics, genomics, microarrays, text mining, and systems biology. The key objective is to cover ML applications to biological science problems, focusing on problems related to bioinformatics. The book looks at cutting-edge research topics and methodologies in ML applied to the rapidly advancing discipline of bioinformatics. ML and DL applied to biological and neuroimaging data can open new frontiers for biomedical engineering, such as refining the understanding of complex diseases, including cancer and neurodegenerative and psychiatric disorders. Advances in this field could eventually lead to the development of precision medicine and automated diagnostic tools capable of tailoring medical treatments to individual lifestyles, variability, and the environment.Highlights include:Artificial Intelligence in treating and diagnosing schizophreniaAn analysis of MLs and DLs financial effect on healthcareAn XGBoost-based classification method for breast cancer classificationUsing ML to predict squamous diseasesML and DL applications in genomics and proteomicsApplying ML and DL to biological data This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New.
