SKU/Artículo: AMZ-B0FRY6TYN4
Python Programming with Apache Airflow for ML Pipelines: Build, Orchestrate, and Scale Machine Learning Workflows with Proven RealWorld Strategies
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Paperback
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En stock
En stock
Peso con empaque:
0.57 kg
0.57 kg
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Sí
Sí
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Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Python Programming with Apache Airflow for ML Pipelines: Build, Orchestrate, and Scale Machine Learning Workflows with Proven Real-World StrategiesHow do you take machine learning models from proof-of-concept notebooks to production systems that truly scale? Many teams struggle with messy workflows, brittle pipelines, and endless firefighting. What if you could manage your ML workflows with the same rigor, reliability, and flexibility as any modern data platform?This book gives you that framework. By combining Python’s versatility with Apache Airflow’s powerful orchestration capabilities, you’ll learn how to build ML pipelines that are not just functional, but production-ready. From scheduling feature engineering tasks to automating retraining, monitoring, and deployment, you’ll gain practical, repeatable strategies for running machine learning at scale.Through clear explanations and hands-on examples, you’ll discover how to:Design modular, Python-based Airflow DAGs tailored for machine learning workflows.Automate data preprocessing, feature engineering, and model training tasks.Integrate Airflow with popular ML frameworks and cloud platforms.Implement best practices for monitoring, testing, and versioning ML pipelines.Scale workflows to handle complex dependencies and large datasets.Keep models fresh and reliable with retraining, evaluation, and continuous deployment strategies.Whether you’re a data engineer aiming to streamline operations, or an ML engineer seeking a robust workflow backbone, this book equips you with the tools to move beyond ad-hoc scripts and fragile pipelines. Instead, you’ll orchestrate workflows that are scalable, maintainable, and trusted in production environments.The real-world strategies in this book ensure you’re not just learning syntax or isolated patterns—you’re adopting proven practices used by leading data and AI teams worldwide.If you’re serious about scaling machine learning pipelines, it’s time to step up from experimentation to execution. Get your copy today and start building ML workflows that deliver results reliably, every time.
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AR$89.736
49% OFF
AR$46.020
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