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Cracking Machine Learning Code by Santosh Rizk (11 results)
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Condition: As New. Unread book in perfect condition.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a compass, guiding the readers through the evolving landscape of artificial intelligence. It typically includes model selection, parameter tuning and optimization, use of pre-trained models and transfer learning, right use of limited data, model interpretability and explainability, feature engineering and autoML robustness and security, and computational cost ż efficiency and scalability. Innovation in building machine learning models involves a continuous cycle of exploration, experimentation, and improvement, with a focus on pushing the boundaries of what is achievable while considering ethical implications and real-world applicability. The book is aimed at providing a clear guidance that one should not be limited to building pre-trained models to solve problems using the off-the-self basic building blocks. With primarily three different data types: numerical, textual, and image data, we offer practical applications such as predictive analysis for finance and housing, text mining from media/news, and abnormality screening for medical imaging informatics. To facilitate comprehension and reproducibility, authors offer GitHub source code encompassing fundamental components and advanced machine learning tools.
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Condition: New.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: New.
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Cracking the Machine Learning Code: Technicality or Innovation?
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 9819727197 ISBN 13: 9789819727193
US$ 285.36
US$ 13.33 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 146 pages. 9.25x6.10x8.90 inches. In Stock.
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Cracking the Machine Learning Code: Technicality or Innovation?
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9819727197 ISBN 13: 9789819727193
US$ 172.11
US$ 56.48 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a compass, guiding the readers through the evolving landscap.
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US$ 260.46
US$ 8.67 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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US$ 260.73
US$ 8.67 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Condition: New. PRINT ON DEMAND.
