We are writing a book about Machine Learning System Design.

The book is dedicated to ML System Design - not a particular technology, but a high-level framework on how to approach problems related to building, maintaining, and improving big machine learning systems.

ML/AI is definitely a big thing these days, and there are many books and courses on algorithms, domains, and other specific aspects. However, they hardly provide an entire vision. It leads to the problem authors saw in multiple companies: solid engineers successfully build scattered subcomponents that can’t be gathered together into a fully functioning reliable system.

Designing a system is a complex thing, it is easy to miss a critical point, and that is why having a comprehensive guide is necessary.

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