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45099508
Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples
Item #:
45099508
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| Item Weight | 2 lbs (910 grams) |
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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Customer Questions & Answers
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Question:
Who is the target audience for this book?
Answer: This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. Intermediate-level knowledge of Python is necessary. -
Question:
What will I learn from this book?
Answer: You will learn how to build scalable and robust solutions that can serve your machine learning models in production environments, including hyperparameter optimization, model management, building ML libraries and packages, exploring ML engineering patterns, toolsets for training and deployment, and using cloud-based tools. -
Question:
Does the book include practical examples?
Answer: Yes, the book includes practical illustrations and examples to help you solve typical business problems.
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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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