Verwandte Artikel zu Professional Python for AI Engineering: Developing...
Professional Python for AI Engineering: Developing Advanced Solutions in Data Science and Deep Learning (The Enterprise Data Science Mastery Series, Band 1) - Softcover
Buch 1 von 4: The Enterprise Data Science Mastery Series
Inhaltsangabe
What does it take to move from writing Python scripts to engineering production-ready AI systems?
Professional Python for AI Engineering is a practical guide for software engineers and data scientists who want to use Python at a professional level for data science, machine learning, and deep learning applications.
Rather than focusing on basic Python syntax, this book explores the advanced techniques needed to design, optimize, test, deploy, and maintain robust AI software.
You’ll explore how to:
- Build reproducible Python environments and manage dependencies for AI projects
- Optimize memory usage, algorithms, data loading, and expensive computations
- Process massive datasets using multiprocessing, Dask, Polars, and out-of-core techniques
- Apply architectural patterns to create modular and maintainable machine learning systems
- Structure PyTorch and TensorFlow projects for production
- Optimize GPU utilization, mixed-precision training, distributed training, and hyperparameters
- Build scalable and fault-tolerant model training pipelines
- Serialize and deploy models with ONNX, TorchScript, REST APIs, gRPC, and containers
- Test, profile, debug, monitor, and continuously improve AI codebases
- Connect data pipelines, feature stores, retraining workflows, telemetry, and security into end-to-end AI engineering systems
Take your Python skills beyond scripting and into professional AI engineering.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Professional Python for AI Engineering: Developing...
Beispielbild für diese ISBN
Professional Python for AI Engineering (Paperback)
Print-on-DemandAnbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. What does it take to move from writing Python scripts to engineering production-ready AI systems? Professional Python for AI Engineering is a practical guide for software engineers and data scientists who want to use Python at a professional level for data science, machine learning, and deep learning applications.Rather than focusing on basic Python syntax, this book explores the advanced techniques needed to design, optimize, test, deploy, and maintain robust AI software.You'll explore how to: Build reproducible Python environments and manage dependencies for AI projectsOptimize memory usage, algorithms, data loading, and expensive computationsProcess massive datasets using multiprocessing, Dask, Polars, and out-of-core techniquesApply architectural patterns to create modular and maintainable machine learning systemsStructure PyTorch and TensorFlow projects for productionOptimize GPU utilization, mixed-precision training, distributed training, and hyperparametersBuild scalable and fault-tolerant model training pipelinesSerialize and deploy models with ONNX, TorchScript, REST APIs, gRPC, and containersTest, profile, debug, monitor, and continuously improve AI codebasesConnect data pipelines, feature stores, retraining workflows, telemetry, and security into end-to-end AI engineering systemsWhether you are developing machine learning pipelines, deep learning applications, or production AI infrastructure, this book focuses on the engineering practices that help turn experimental code into reliable software.Take your Python skills beyond scripting and into professional AI engineering. 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 9798170536788
Beispielbild für diese ISBN
Professional Python for AI Engineering
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798170536788
Neu kaufen
EUR 22,57
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Professional Python for AI Engineering: Developing Advanced Solutions in Data Science and Deep Learning (The Enterprise Data Science Mastery Series)
Print-on-DemandAnbieter: California Books, Miami, FL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers I-9798170536788
Neu kaufen
EUR 21,17
EUR 2,68 Versand
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Professional Python for AI Engineering
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9798170536788
Neu kaufen
EUR 19,94
EUR 4,98 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Professional Python for AI Engineering (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. What does it take to move from writing Python scripts to engineering production-ready AI systems? Professional Python for AI Engineering is a practical guide for software engineers and data scientists who want to use Python at a professional level for data science, machine learning, and deep learning applications.Rather than focusing on basic Python syntax, this book explores the advanced techniques needed to design, optimize, test, deploy, and maintain robust AI software.You'll explore how to: Build reproducible Python environments and manage dependencies for AI projectsOptimize memory usage, algorithms, data loading, and expensive computationsProcess massive datasets using multiprocessing, Dask, Polars, and out-of-core techniquesApply architectural patterns to create modular and maintainable machine learning systemsStructure PyTorch and TensorFlow projects for productionOptimize GPU utilization, mixed-precision training, distributed training, and hyperparametersBuild scalable and fault-tolerant model training pipelinesSerialize and deploy models with ONNX, TorchScript, REST APIs, gRPC, and containersTest, profile, debug, monitor, and continuously improve AI codebasesConnect data pipelines, feature stores, retraining workflows, telemetry, and security into end-to-end AI engineering systemsWhether you are developing machine learning pipelines, deep learning applications, or production AI infrastructure, this book focuses on the engineering practices that help turn experimental code into reliable software.Take your Python skills beyond scripting and into professional AI engineering. 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 9798170536788
Neu kaufen
EUR 24,05
EUR 44,33 Versand
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Professional Python for AI Engineering : Developing Advanced Solutions in Data Science and Deep Learning
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - What does it take to move from writing Python scripts to engineering production-ready AI systems Professional Python for AI Engineering is a practical guide for software engineers and data scientists who want to use Python at a professional level for data science, machine learning, and deep learning applications.Rather than focusing on basic Python syntax, this book explores the advanced techniques needed to design, optimize, test, deploy, and maintain robust AI software.You'll explore how to: - Build reproducible Python environments and manage dependencies for AI projects- Optimize memory usage, algorithms, data loading, and expensive computations- Process massive datasets using multiprocessing, Dask, Polars, and out-of-core techniques- Apply architectural patterns to create modular and maintainable machine learning systems- Structure PyTorch and TensorFlow projects for production- Optimize GPU utilization, mixed-precision training, distributed training, and hyperparameters- Build scalable and fault-tolerant model training pipelines- Serialize and deploy models with ONNX, TorchScript, REST APIs, gRPC, and containers- Test, profile, debug, monitor, and continuously improve AI codebases- Connect data pipelines, feature stores, retraining workflows, telemetry, and security into end-to-end AI engineering systemsWhether you are developing machine learning pipelines, deep learning applications, or production AI infrastructure, this book focuses on the engineering practices that help turn experimental code into reliable software.Take your Python skills beyond scripting and into professional AI engineering. Bestandsnummer des Verkäufers 9798170536788
Neu kaufen
EUR 33,56
EUR 35,00 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar