9798278046202 - the complete guide to deep machine learning: engineering robust, scalable, and responsible ai systems (mastering deep learning & machine learning) de harry, ellis jasper (4 resultados)
Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 1 de 4 - Mastering Deep Learning & Machine learning
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 44,16
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.
Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 1 de 4 - Mastering Deep Learning & Machine learning
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 38,28
Envío por EUR 6,86Se 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.
Idioma: Inglés
Editorial: Independently Published, 2025
Serie: Libro 1 de 4 - Mastering Deep Learning & Machine learning
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 44,15
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Paperback. Condición: new. Paperback. Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you've asked, how do modern AI engineers manage c…omplex models, deploy them safely, and ensure they actually solve real problems?The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts-do you want to understand how to build systems that operate responsibly, reliably, and at scale?Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you've questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You'll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You'll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you're a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Independently Published, 2025
Serie: Libro 1 de 4 - Mastering Deep Learning & Machine learning
- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 42,70
Envío por EUR 43,23Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Have you ever wondered what truly goes into building intelligent systems that work reliably in the real world? Do you find yourself reading deep learning tutorials that explain theory but leave you unsure of how to apply it at scale? Or maybe you've asked, how do modern AI engineers manage c…omplex models, deploy them safely, and ensure they actually solve real problems?The Complete Guide to Deep Machine Learning: Engineering Robust, Scalable, and Responsible AI Systems by Ellis Jasper Harry invites you into the practical side of AI. Do you want more than surface-level concepts-do you want to understand how to build systems that operate responsibly, reliably, and at scale?Have you struggled to create reproducible ML pipelines, handle massive datasets, or optimize large models for production? Do you wonder how transformers, multimodal models, and large language models are trained, fine-tuned, and evaluated? Or perhaps you've questioned: how can I ensure my AI systems remain fair, robust, and safe even when data shifts or unexpected situations appear?This book takes you on a clear, structured journey from foundational principles to advanced engineering techniques. You'll explore everything from core neural architectures to reinforcement learning, generative AI, retrieval-augmented generation, interpretability, monitoring, and production MLOps. You'll learn what it takes to train, optimize, deploy, and maintain AI systems with confidence, while keeping reliability and responsibility at the forefront.Are you finally ready to bridge the gap between theory and real-world implementation? Do you want the same workflows, patterns, and engineering strategies used by leading AI professionals today? Whether you're a beginner, an intermediate learner, or an industry engineer, this book equips you with the skills to design and operate AI systems that are scalable, robust, and ethically grounded.Why wait? Start building smarter systems today. And if this guide supports your journey, consider leaving a review to help others take the same step from understanding to mastery. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
