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It is now time to put all the theory into action. Your next step is to sign up for mlOS. Go ahead, it’s free to try. Start with the next lesson once you are in. The …
It is now time to put all the theory into action. Your next step is to sign up for mlOS. Go ahead, it’s free to try. Start with the next lesson once you are in. The …
ML works in real-life. In fact, quite a lot of day-to-day things that we do depend on it. Where there are data, there are machine learning applications. It has many applications in business intelligence, web search, …
YES, models can fail. Common issues are: Inadequate pre-processing of data Inadequate model validation Unjustified extrapolation (e.g. application of the model to data that reside in a space which the model has never seen) Overfitting the …
It is not enough to create presentations for a fancy dashboard. To integrate models into production applications, an intelligent micro-service needs to be wrapped around them. This is called model deployment.