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Machine Learning Infrastructure and Best Practices for Software Engineers

<span xml:lang="en">Machine Learning Infrastructure and Best Practices for Software Engineers: Take your machine learning software from a prototype to a fully fledged software system</span>

Staron, Miroslaw

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a professional levelSecure the quality of your machine learning pipeline at runtimeApply your knowledge to natural languages, programming languages, and imagesBook DescriptionAlthough creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a...

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for...

Machine Learning Infrastructure and Best Practices for...

Format

Machine Learning Infrastructure and Best Practices for Software Engineers

Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

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