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Machine Learning: Designing Systems from Concept to Implementation

39.99 €
In stock
Machine Learning: Designing Systems from Concept to Implementation
39.99 €
In basket
Designing and deploying a machine learning system is a complex, multi-step process that requires diverse competencies and the participation of specialists from various roles. Whether you're integrating ML into an existing project or designing an ML system from scratch, you need to navigate massive datasets and streams, define testing and deployment requirements, and consider the complexities of implementing ML models in production. This practical guide covers the full development cycle of ML projects. You'll walk through the entire framework step by step: design, implementation, release, and maintenance of an ML system. Checklists with essential requirements and real-world examples will help you deploy and optimize your own ML system. You'll especially appreciate the authors' anecdotes and tips from their personal experience, as well as recommendations for preparing for system design interviews.
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