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Improving Classifier Generalization : Real-Time Machine Learning based Applications
Published by Springer Nature Singapore, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
£ 77.78
Convert currency£ 7.73 shipping from Germany to United KingdomQuantity: 1 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 192 | Sprache: Englisch | Produktart: Bücher.
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£ 161.69
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£ 170.79
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Add to basketCondition: As New. Unread book in perfect condition.
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£ 188.59
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Condition: New.
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Improving Classifier Generalization: Real-time Machine Learning Based Applications
Published by Springer-Nature New York Inc, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
Hardcover. Condition: Brand New. 189 pages. 9.25x6.10x0.63 inches. In Stock.
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£ 208.85
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Improving Classifier Generalization
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 981195075X ISBN 13: 9789811950759
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repos.
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Improving Classifier Generalization
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811950725 ISBN 13: 9789811950728
Language: English
£ 121.84
Convert currency£ 21.71 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repos.
