Python-bloggers

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I have seen two different cultures in data science: “mathematicians” and “engineers“. “Mathematicians” are often academics, or have a PhD. Most of them have a background in statistics or mathematics. They believe in the power of theory, proper assumptions and interpretable models. They like models that are based on proven ... [...Read more...]

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The post Performance metrics for recommender systems appeared first on TDS. [...Read more...]

It is impossible to become a data scientist without programming. However, you don’t have to be a data scientist to use data science! The market around data science, machine learning and analytics has matured enough to the point where there are many products out there to run data science ... [...Read more...]

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Every year I am teaching social media analytics at the Cyprus International Institute of Management. The course includes topics such as natural language processing, and how to extract insights from social media. Last year I was lucky to have Valerios Paris Mitsakis in my classroom, who did a very impressive ... [...Read more...]

This post is coming from Yasmin Chamchoun. A career in data science is becoming highly sought after. With more and more people entering the field, what is that makes ‘data scientist’ such an appealing profession nowadays? Undoubtedly, the field can be very rewarding both financially and through the practical application ... [...Read more...]