Isbn: 9786630066852 - predictive analytics to deep learning: a complete coding textbook: a practical guide from regression to autoencoders (8 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.

Taschenbuch. Condizione: 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.…

Paperback. Condizione: 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.…

Taschenbuch. Condizione: 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.…