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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P V V S Maneendra is an Assistant Professor of Mechanical Engineering at GIET Engineering College (A). He holds an M.Tech in Machine Design from JNTUK-UCEK. With 6+ years of experience, he holds NPTEL certifications in Python, Data Science, ML, and Business Intelligence, bridging engineering and AI.
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9786630066852
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9786630066852
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786630066852
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 136001884
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