SKU/Artículo: AMZ-B0GMWSLS2F
MLOps for Data Engineers: Automating the machine learning lifecycle from training to production
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
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No
No
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Stop Throwing Models Over the Wall.A model in a Jupyter Notebook is an experiment. A model in production is a product.The gap between "It works on my laptop" and "It works at scale" is where most AI projects fail. MLOps for Data Engineers is the manual for bridging that gap. This book is not about tweaking hyperparameters or choosing the right algorithm; it is about building the industrial infrastructure that allows machine learning to run reliably, automatically, and securely.This is the definitive guide to the Machine Learning Lifecycle. You will move beyond manual scripts to architect robust pipelines that automate everything—from data ingestion and training to deployment and monitoring.Industrialize Your AI.Focusing on the intersection of DevOps, Data Engineering, and ML, this guide teaches you to treat models as software artifacts.The Automated Pipeline: Master tools like Apache Airflow or Kubeflow to orchestrate complex workflows where data is cleaned, validated, and fed into training jobs automatically.Model Tracking & Registry: Stop losing track of which dataset trained which model. Learn to use MLflow to version control your experiments and manage the "Golden Copy" for production.Feature Stores: Build a centralized repository for your data features, ensuring that training and inference use the exact same data definitions—eliminating "training-serving skew."Continuous Training (CT): Implement systems that detect when a model is getting "stale" (Model Drift) and automatically trigger a retraining loop.Scalable Serving: Deploy your models as high-performance APIs using Docker and Kubernetes, capable of handling thousands of requests per second.Whether you are a Data Engineer tired of manual handoffs, or a DevOps pro tasked with supporting a Data Science team, this book gives you the blueprint to build the factory floor of the AI revolution.Don't let your models rot. Automate them. Scroll up and grab your copy to master the art of MLOps.
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AR$7.201
31% OFF
AR$4.961
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