Albert Dimtry (11 results)

- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: CreativeCenters, Peoria, IL, U.S.A.CreativeCenters
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paperback. Condition: New.

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 156 pages. 6.00x0.33x9.00 inches. In Stock.

- Softcover
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction examines artificial intelligence techniques for analyzing data and developing predictive models related to Autism Spectrum Disorder. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

- Softcover
- Print on Demand
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 156 pp. Englisch.

- Softcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condition: new. Paperback. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction examines artificial intelligence techniques for analyzing data and developing predictive models related to Autism Spectrum Disorder. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research. Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction examines artificial intelligence techniques for analyzing data and developing predictive models related to Autism Spectrum Disorder. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction by Dimtry Albert explores the application of modern artificial intelligence techniques to the prediction and analysis of Autism Spectrum Disorder (ASD). The book examines how machine learning and deep learning approaches can be applied to healthcare and biomedical data to identify patterns, develop predictive models, and support data-driven analysis.Autism Spectrum Disorder is a complex neurodevelopmental condition with diverse characteristics and patterns. Advances in artificial intelligence, machine learning, and deep learning have created new opportunities for analyzing structured and clinical datasets and developing computational approaches for prediction and classification.This book provides a focused technical discussion of machine learning and deep learning methods used in ASD prediction. It addresses concepts related to data preparation, feature representation, classification, model development, neural networks, predictive performance, and evaluation. By examining computational approaches to ASD prediction, the book provides insight into how artificial intelligence can contribute to research and data-driven healthcare applications.Machine Learning And Deep Learning For Autism Spectrum Disorder Prediction is intended for students, researchers, data scientists, engineers, computer science professionals, and readers interested in the intersection of artificial intelligence, machine learning, deep learning, healthcare analytics, and computational approaches to neurodevelopmental research.…

- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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US$ 38.35
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Taschenbuch. Condition: Neu. Machine Learning and Deep Learning for Autism Spectrum Disorder Prediction | Dimtry Albert | Taschenbuch | Englisch | 2026 | SHARK NAIL | EAN 9781962116565 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…