The Funny Side of Data Science: Using Humor to Predict Successful Dates

eHarmony has spent years building machine learning algorithms that predict which couples are most likely to strike up a conversation based on a number of factors, from profile photo composition to self-rated attractiveness. During his presentation at DataScience: Elevate, Chief Scientist Steve Carter explains the ins and outs of the predictive models driving 10 million matches every day.

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