From the course: Machine Learning in Mobile Applications

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Training a model

Training a model - Xamarin Tutorial

From the course: Machine Learning in Mobile Applications

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Training a model

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- [Instructor] The process for training a model starts with finding source data that can be used to train it. In many cases, you will need to pre-process and clean up the data. This may include pulling out irrelevant data, incorrect data or combining different elements to create information that the data doesn't directly contain. Once the data is pre-processed, the data is separated into two sets. The larger set for doing the initial training and the second set to score the model and see how accurate it is. I tend to try and randomly separate my source data into the two groups. When the data is collected and separated into two groups, we start with feature extraction, that is, we manually pull information out of the data in such a way that it creates defining characteristics of what problem we want our model to solve. For example, if we are trying to understand what someone is saying, you may separate collection to phrases into groupings based on what they are trying to do. You will…

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