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Auto-encoders in the wild... of telco land.


Telcos have vast amounts of data about user behaviour, but it is often extremely highly dimensional and sparsely populated, making it hard to learn from using conventional ML techniques. By compressing this data into a smaller space, we can build simple downstream models that leverage subtle features in the data - like predicting gender or churn - without handcrafted features.


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