Da: suffolkbooks, Center moriches, NY, U.S.A.
hardcover. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 122,45
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Aggiungi al carrelloHardback. Condizione: New. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 112,63
Quantità: 2 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 115,68
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: Revaluation Books, Exeter, Regno Unito
EUR 136,50
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Aggiungi al carrelloHardcover. Condizione: Brand New. 270 pages. 7.50x5.98x9.02 inches. In Stock.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: Rarewaves.com UK, London, Regno Unito
EUR 115,67
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Aggiungi al carrelloHardback. Condizione: New. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naive Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: Revaluation Books, Exeter, Regno Unito
EUR 109,51
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 270 pages. 7.50x5.98x9.02 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: CitiRetail, Stevenage, Regno Unito
EUR 123,37
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naive Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: preigu, Osnabrück, Germania
EUR 101,70
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. MACHINE LEARNING IN BUSINESS FINANCE USING PYTHON | Lim Kian Guan | Buch | Englisch | 2025 | World Scientific | EAN 9789819811236 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 121,48
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819811236 ISBN 13: 9789819811236
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 163,23
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book is an introduction to machine learning using Python programming language with applications in finance and business. Coverages include the prediction methods of logistic regression, Naive Bayes, k-Nearest Neighbor, Support Vector Machine, Random Forest, Gradient Boosting, and various types of Neural Networks. Performance measurements and assessments of feature importance are also explained. The book also contains detailed examples of the applications with data. Python codes are explained in a step-by-step manner using Jupyter Notebook so that the readers can practise on their own. 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.