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176676434
Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems (From Scratch)
86% of respondents would recommend this to a friend
Nº de artículo:
176676434
NIO 2587
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A must-have if you want to learn how to build and deploy ML models from scratch.
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Detalles de producto
| Publisher | Manning Publications |
| Publication date | March 10, 2026 |
| Language | English |
| Print length | 504 pages |
| ISBN-10 | 1633437337 |
| ISBN-13 | 978-1633437333 |
| Item Weight | 13.7 ounces (388.4 grams) |
| Dimensions | 7.38 x 1.26 x 9.25 inches (18.7 x 3.2 x 23.5 cm) |
DESCRIPCIÓN DEL PRODUCTO
Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems (From Scratch)
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Preguntas y respuestas de los clientes
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Pregunta:
What kind of projects will I learn in this book?
Respuesta: You will work on hands-on projects like building data pipelines for image classifiers and recommendation systems. -
Pregunta:
Which tools will I learn to use in machine learning?
Respuesta: The book covers tools such as Kubeflow, MLflow, BentoML, and more for effective MLOps. -
Pregunta:
Is this book suitable for beginners in machine learning?
Respuesta: Yes, it provides a structured introduction to building and deploying ML models from scratch.
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características y beneficios
- Learn to design and operate a production-ready machine learning platform.
- Hands-on projects such as image classifiers and recommendation systems.
- Master MLOps fundamentals like orchestration and deployment.
- Use real open-source tools like Kubeflow and MLflow.
- Streamline workflows and enhance collaboration between teams.
- Achieve automation and improve model deployment efficiency.
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