This textbook provides a comprehensive, code-first introduction to Artificial Intelligence and Machine Learning (AIML). Bridging the gap between mathematical theory and practical execution, it guides readers through 12 structured chapters covering data preprocessing, classical machine learning algorithms, and advanced deep learning architectures like CNNs, RNNs, and Autoencoders. Every concept is backed by rigorous mathematical foundations and fully realized through step-by-step Python implementations.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. This textbook provides a comprehensive, code-first introduction to Artificial Intelligence and Machine Learning (AIML). Bridging the gap between mathematical theory and practical execution, it guides readers through 12 structured chapters covering data preprocessing, classical machine learning algorithms, and advanced deep learning architectures like CNNs, RNNs, and Autoencoders. Every concept is backed by rigorous mathematical foundations and fully realized through step-by-step Python implementations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786630066852
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9786630066852
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Condición: New. Nº de ref. del artículo: I-9786630066852
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: L2-9786630066852
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch. Nº de ref. del artículo: 9786630066852
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This textbook provides a comprehensive, code-first introduction to Artificial Intelligence and Machine Learning (AIML). Bridging the gap between mathematical theory and practical execution, it guides readers through 12 structured chapters covering data preprocessing, classical machine learning algorithms, and advanced deep learning architectures like CNNs, RNNs, and Autoencoders. Every concept is backed by rigorous mathematical foundations and fully realized through step-by-step Python implementations. Nº de ref. del artículo: 9786630066852
Cantidad disponible: 2 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. This textbook provides a comprehensive, code-first introduction to Artificial Intelligence and Machine Learning (AIML). Bridging the gap between mathematical theory and practical execution, it guides readers through 12 structured chapters covering data preprocessing, classical machine learning algorithms, and advanced deep learning architectures like CNNs, RNNs, and Autoencoders. Every concept is backed by rigorous mathematical foundations and fully realized through step-by-step Python implementations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786630066852
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook provides a comprehensive, code-first introduction to Artificial Intelligence and Machine Learning (AIML). Bridging the gap between mathematical theory and practical execution, it guides readers through 12 structured chapters covering data preprocessing, classical machine learning algorithms, and advanced deep learning architectures like CNNs, RNNs, and Autoencoders. Every concept is backed by rigorous mathematical foundations and fully realized through step-by-step Python implementations. 76 pp. Englisch. Nº de ref. del artículo: 9786630066852
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Predictive Analytics to Deep Learning: A Complete Coding Textbook | A Practical Guide from Regression to Autoencoders | P V V S Maneendra (u. a.) | Taschenbuch | Englisch | 2026 | Scholars' Press | EAN 9786630066852 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136001884
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