9798277182260 - rust for ai and machine learning: build faster, safer, high-performance models with practical techniques for training, inference, and deployment di amsel, leon (4 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 28,57
EUR 5,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: new. Paperback. Rust for AI and Machine LearningBuild Faster, Safer, High-Performance Models with Practical Techniques for Training, Inference, and DeploymentWhat if you could build AI systems that are faster, safer, and far more reliable than anything you've delivered before, without wrestling with runtim…e unpredictability or slow inference pipelines? As machine learning moves deeper into real-world applications, many teams are discovering that traditional tooling struggles to meet strict latency, security, and performance requirements.Rust for AI and Machine Learning presents a clear, practical solution. By combining Rust's speed, strong safety guarantees, and predictable performance model with modern ML workflows, you can create systems designed for real production pressure, whether you're training classical models, running ONNX inference, building deep-learning components, or supporting Python-based research environments.This book shows exactly how Rust fits into today's ML ecosystem and how it can elevate your engineering capabilities. You'll learn through straightforward explanations, real code examples, and patterns used by production teams building high-performance AI systems right now.In this book, you'll learn how to: Build efficient data-loading and preprocessing pipelines using Rust's memory safety and parallelism.Train both classical and deep-learning models using established Rust ML frameworks.Execute fast, stable inference with ONNX Runtime, tract, burn, and custom Rust implementations.Construct production-ready model-serving APIs with precise typing and efficient serialization.Combine Rust with Python, using PyO3 and maturin, to support hybrid research and deployment pipelines.Package Rust-based ML systems as binaries or containers for consistent deployment across platforms.Benchmark and optimize ML workloads using techniques that expose real bottlenecks and improve performance.If you're a developer, engineer, or ML practitioner who wants to build AI systems that scale with confidence, this book gives you a complete, practical playbook. It's engineered to help you produce results that are dependable, predictable, and production-ready.Ready to build AI systems that run faster, safer, and with higher performance? Get your copy today and start building with Rust. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 32,49
EUR 43,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Rust for AI and Machine LearningBuild Faster, Safer, High-Performance Models with Practical Techniques for Training, Inference, and DeploymentWhat if you could build AI systems that are faster, safer, and far more reliable than anything you've delivered before, without wrestling with runtim…e unpredictability or slow inference pipelines? As machine learning moves deeper into real-world applications, many teams are discovering that traditional tooling struggles to meet strict latency, security, and performance requirements.Rust for AI and Machine Learning presents a clear, practical solution. By combining Rust's speed, strong safety guarantees, and predictable performance model with modern ML workflows, you can create systems designed for real production pressure, whether you're training classical models, running ONNX inference, building deep-learning components, or supporting Python-based research environments.This book shows exactly how Rust fits into today's ML ecosystem and how it can elevate your engineering capabilities. You'll learn through straightforward explanations, real code examples, and patterns used by production teams building high-performance AI systems right now.In this book, you'll learn how to: Build efficient data-loading and preprocessing pipelines using Rust's memory safety and parallelism.Train both classical and deep-learning models using established Rust ML frameworks.Execute fast, stable inference with ONNX Runtime, tract, burn, and custom Rust implementations.Construct production-ready model-serving APIs with precise typing and efficient serialization.Combine Rust with Python, using PyO3 and maturin, to support hybrid research and deployment pipelines.Package Rust-based ML systems as binaries or containers for consistent deployment across platforms.Benchmark and optimize ML workloads using techniques that expose real bottlenecks and improve performance.If you're a developer, engineer, or ML practitioner who wants to build AI systems that scale with confidence, this book gives you a complete, practical playbook. It's engineered to help you produce results that are dependable, predictable, and production-ready.Ready to build AI systems that run faster, safer, and with higher performance? Get your copy today and start building with Rust. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
