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ML (O)Ops! Keeping Track of Changes (Part 2)

The first part of the series, “Improving and Deploying On-Device Models With Confidence”, is posted here. With Atul Dhingra One way to automate classification is to compare new instances to a known list and plug in the majority class of the exact match. For such instance-based learning, you often don’

ML (O)Ops! Improving and Deploying On-Device Models With Confidence (Part 1)

With Atul Dhingra. Part 1 of a multi-part series. It is well known that ML Engineers today spend most of their time doing things that do not have a lot to do with machine learning. They spend time working on technically unsophisticated but important things like deployment of models, keeping

To the Better End: How the Middle Can Improve the End

Neil deGrasse Tyson: “…[generational spaceships produce] interesting ethical questions … to bring an entire generation of humans into the world whose only mission is to bring another generation into the world with a goal that they will never see.” Chuck Nice: “In a way, Neil, that is [the] kind of the

Build Software for the Lay User

Most word processing software helpfully point out grammatical errors and spelling mistakes. Some even autocorrect. And some, like Grammarly, even give style advice. Now consider software used for business statistics. Say you want to compute the correlation between two vectors: [100, 2000, 300, 400, 500, 600] and [1, 2, 3,

Liberalizing Daughters: Do Daughters Cause MCs to be Slightly More Liberal on Women's Issues?

Two papers estimate the impact of having a daughter on Members of Congress’ (MC’s) position on women’s issues. Washington (2008) finds that each additional daughter (conditional on the number of children) causes about a 2 point increase in liberalism on women’s issues using data from the 105th

It Depends! Effect of Quotas On Women's Representation

“[Q]uotas are often thought of as temporary measures, used to improve the lot of particular groups of people until they can take care of themselves.” Bhavnani 2011 So how quickly can be withdraw the quota? The answer depends—plausibly on space, office, and time. “In West Bengal …[i]n

Political Macroeconomics

Look Ma, I Connected Some Dots! In late 2019, in a lecture at the Watson Center at Brown University, Raghuram Rajan spoke about the challenges facing the Indian economy. While discussing the trends in growth in the Indian economy (I have linked to the relevant section in the video. see

Superhuman: Can ML Beat Human-Level Performance in Supervised Models?

A supervised model cannot do better than its labels. (I revisit this point later.) So the trick is to make labels as good as you can. The errors in labels stem from three sources: 1. Lack of Effort: More effort people spend labeling something, presumably the more accurate it will

No Shit! Open Defecation in India

On Oct. 2nd, 2019, on Mahatma Gandhi’s 150th birthday, and just five years after the launch of the Swachh Bharat Campaign, Prime Minister Narendra Modi declared India ODF. * * * * * * The 2018-2019 Annual Sanitation Survey corroborates the progress: Reducing open defecation matters because it can reduce child mortality and stunting. For