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

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Our first (tiny) application of machine learning

Let's get our hands dirty and take a look at our hypothetical web start-up, MLaaS, which sells the service of providing machine learning algorithms via HTTP. With increasing success of our company, the demand for better infrastructure 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 side, we will lose money, if we have not reserved enough resources to serve all incoming requests. Now, the question is, when will we hit the limit of our current infrastructure, which we estimated to be at 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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