Research in machine learning (ML) has primarily argued that models trained on incomplete or biased datasets can lead to discriminatory outputs. In this commentary, we propose moving the research focus beyond bias-oriented framings by adopting a power-awar... (more…)

Explore student/corporate competitions & engagements for B-schools, Engineering & Graduate colleges. We are an employer branding consultant & help conceptualize & organize these engagements | D2C - India... (more…)

This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches. Particularly, mathematical optimization models are presented for regression, classification, clustering, deep l... (more…)

Drones, satellite imaging, GPS-wearing dogs, and sensors combined with AI improve beer and wine, and a robot that gets a perfect pour every time. (more…)

A guide to machine learning techniques for limited data problems, including approaches for small amounts of data and for large amounts of unlabelled data. (more…)