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Preetam Joshi
Preetam Joshi

29 Followers

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Published in Towards Data Science

·Feb 19, 2021

Handling Data Scarcity while building Machine Learning applications

Practical techniques to get an application off the ground — Data scarcity is when a) there is limited amount or a complete lack of labeled training data, or b) lack of data for a given label compared to the other labels (a.k.a data imbalance). Larger technology companies tend to have access to abundant data although they could encounter data imbalance…

Machine Learning

9 min read

Handling Data Scarcity while building Machine Learning applications
Handling Data Scarcity while building Machine Learning applications
Machine Learning

9 min read


Published in Towards Data Science

·Jan 11, 2021

RBO v/s Kendall Tau to compare ranked lists of items

While working on ranking problems (feed ranking, search ranking etc.), I have often encountered situations when I needed to compare ranked lists generated by separate systems — for example Production v/s an A/B test. The need to compared two or more ranked lists is more common than you would think…

Machine Learning

8 min read

RBO v/s Kendall Tau to compare ranked lists of items
RBO v/s Kendall Tau to compare ranked lists of items
Machine Learning

8 min read

Preetam Joshi

Preetam Joshi

29 Followers

Senior Software Engineer at Netflix (Personalization Infrastructure). Past: Data Science at Thumbtack, Senior Software Engineer at Yahoo!

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