Machine Learning Engineering with Python - Second Edition by Andrew McMahon EPUB

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Machine Learning Engineering with Python - Second Edition by Andrew McMahon EPUB



This second edition delves deeper into key machine learning topics, CI/CD, and system design

Explore core MLOps practices, such as model management and performance monitoring

Build end-to-end examples of deployable ML microservices and pipelines using AWS and open-source tools



Book Description



The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems. It will provide you with the skills you need to stay ahead in this rapidly evolving field.



The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need. You'll explore the key steps of the ML development lifecycle and create your own standardized "model factory" for training and retraining of models. You'll learn to employ concepts like CI/CD and how to detect different types of drift.



Get hands-on with the latest in deployment architectures and discover methods for scaling up your solutions. This edition goes deeper in all aspects of ML engineering and MLOps, with emphasis on the latest open-source and cloud-based technologies. This includes a completely revamped approach to advanced pipelining and orchestration techniques.



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