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Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments.
Item #:
45099508
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
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Item #:
45099508
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Product Details
- Comprehensive guide to machine learning engineering with Python
- Focuses on managing the production life cycle of machine learning models using MLOps
- Incorporates practical examples for better understanding
- Covers essential concepts for building and deploying machine learning models
- Provides insights into MLOps best practices
- Ideal for professionals and enthusiasts in the field of machine learning
| Publisher | Packt Publishing (November 5, 2021) |
| Language | English |
| Paperback | 276 pages |
| ISBN-10 | 1801079250 |
| ISBN-13 | 978-1801079259 |
| Item Weight | 1.08 pounds (0.49 kg) |
| Dimensions | 9.25 x 7.5 x 0.58 inches (23.5 x 19.1 x 1.5 cm) |
| Country of Origin | This item will be import from US |
| Date First Available | November 14, 2021 |
| What is in the box | Machine Learning Engineering with... For more details, please check description/product details |
Product Description
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
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Features & Benefits
- Learn hyperparameter optimization and model management tools
- Build your own ML libraries and packages in Python
- Explore ML engineering patterns
- Create toolsets for training and deployment
- Work with deployment architectures and cloud-based tools
- Solve typical business problems with examples
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