Remove De-duplication Remove Frequency Remove Spam Remove Validation

Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. So, we implemented de-duplication algorithms to significantly reduce the resources required to process the information in these documents. Inverse document frequency.

Machine Learning Problems: The Easy Parts

Contify

As a programmer with data science background, my attention is invariably caught by the real-world situations where machine learning algorithms have made a difference, for example: email spam filtering, news categorization, review based recommendations, social media sentiments etc. So, we implemented de-duplication algorithms to significantly reduce the resources required to process the information in these documents. Inverse document frequency.