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Building Machine Learning Systems with Python by Willi Richert, Luis Pedro Coelho

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Our first (tiny) machine learning application

Let us get our hands dirty and have a look at our hypothetical web startup, MLAAS, which sells the service of providing machine learning algorithms via HTTP. With the increasing success of our company, the demand for better infrastructure also increases to serve all incoming web requests successfully. We don't want to allocate too many resources as that would be too costly. On the other hand, we will lose money if we have not reserved enough resources for serving all incoming requests. The question now is, when will we hit the limit of our current infrastructure, which we estimated being 100,000 requests per hour. We would like to know in advance when we have to request additional servers in the cloud ...

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