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In den WarenkorbZustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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In den WarenkorbZustand: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
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In den WarenkorbSoft cover. Zustand: New. ISBN:9789354601415,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Über den AutorVenkata Reddy Konasani is a data scientist and corporate trainer with experience in credit risk modeling, market response model building, social media analytics, and machine learning and deep learni.
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In den WarenkorbBuch. Zustand: Neu. Neuware - Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.
Verlag: McGraw-Hill Education, OH, 2021
ISBN 10: 1260462293 ISBN 13: 9781260462296
Sprache: Englisch
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
EUR 153,86
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In den WarenkorbPaperback. Zustand: new. Paperback. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in todays smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: McGraw-Hill Education, OH, 2021
ISBN 10: 1260462293 ISBN 13: 9781260462296
Sprache: Englisch
Anbieter: Grand Eagle Retail, Mason, OH, USA
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In den WarenkorbPaperback. Zustand: new. Paperback. Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in todays smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text.Coverage includes:Machine learning and deep learning conceptsPython programming and statistics fundamentalsRegression and logistic regressionDecision treesModel selection and cross-validationCluster analysisRandom forests and boostingArtificial neural networksTensorFlow and KerasDeep learning hyperparametersConvolutional neural networksRecurrent neural networks and long short-term memory Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 158,87
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1171.