9798291198339 (4 resultados)
Editorial: Amazon Digital Services LLC - Kdp, 2025
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,98
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Editorial: Amazon Digital Services LLC - Kdp, 2025
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,51
Envío por EUR 3,83Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Editorial: Independently Published, 2025
- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,97
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This all-in-one resource walks you through the full spectrum of machine learning. From foundational math to supervised, unsupervised, and reinforcement learning, it provides a thorough understanding of core ML and DL principles. Ideal for both beginners and advancing practitioners, it includ…es hands-on tools, practical algorithms, and insights into neural networks and optimization techniques. What's Inside? Regression, classification, and ensemble models Clustering, anomaly detection, and dimensionality reduction Reinforcement learning: Q-learning, DQNs, and MDPs Neural networks: MLPs, backpropagation, and activation functions Optimization: SGD, Adam, and regularization Transfer learning, feature extraction, and deployment Bias-variance tradeoff and model evaluation Why This Book?Because understanding the core mechanics of learning systems is key to building reliable, ethical, and high-performing AI models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editorial: Independently Published, 2025
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 28,15
Envío por EUR 43,06Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. This all-in-one resource walks you through the full spectrum of machine learning. From foundational math to supervised, unsupervised, and reinforcement learning, it provides a thorough understanding of core ML and DL principles. Ideal for both beginners and advancing practitioners, it includ…es hands-on tools, practical algorithms, and insights into neural networks and optimization techniques. What's Inside? Regression, classification, and ensemble models Clustering, anomaly detection, and dimensionality reduction Reinforcement learning: Q-learning, DQNs, and MDPs Neural networks: MLPs, backpropagation, and activation functions Optimization: SGD, Adam, and regularization Transfer learning, feature extraction, and deployment Bias-variance tradeoff and model evaluation Why This Book?Because understanding the core mechanics of learning systems is key to building reliable, ethical, and high-performing AI models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
