Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 17,82
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 18,43
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 26,20
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 20,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 20,61
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 22,27
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 20,14
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Rarewaves.com UK, London, Reino Unido
EUR 23,82
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 22,86
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. This book provides a structured and accessible pathway into the world of machine learning.1 Beginning with fundamental concepts and progressing through advanced topics, it covers essential Python libraries, mathematical foundations, and practical applications. The book delves into supervised and unsupervised learning, natural language processing, computer vision, time series analysis, and recommender systems.2 It also addresses critical aspects of model deployment, ethical considerations, and future trends, including reinforcement learning, GANs, and AutoML. With practical examples, troubleshooting tips, and a glossary, this resource empowers readers to build and deploy effective machine learning models while understanding the broader implications of AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 25,34
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. This book provides a structured and accessible pathway into the world of machine learning.1 Beginning with fundamental concepts and progressing through advanced topics, it covers essential Python libraries, mathematical foundations, and practical applications. The book delves into supervised and unsupervised learning, natural language processing, computer vision, time series analysis, and recommender systems.2 It also addresses critical aspects of model deployment, ethical considerations, and future trends, including reinforcement learning, GANs, and AutoML. With practical examples, troubleshooting tips, and a glossary, this resource empowers readers to build and deploy effective machine learning models while understanding the broader implications of AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.