Learning Machine Learning -- Week 0

#artificialintelligence 

We use machine learning when simple code will not work, but how do we exactly define problems in this field? We have defined the types of algorithms and now we'll define the types of models that these algorithms have. The types of problem that need supervised learning are: - Classification: "Is this a thing or another one?". We have data and we have to classify it into categories with predetermined labels. When the classification is between 2 options it's called binary classification, when is between more than 2 options it's called multi-class classification.

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