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The Story of Science: Storytelling Bias in Science

Often enough, scientists are left with the unenviable task of conducting an orchestra with out-of-tune instruments. They are charged with telling a coherent story about noisy results. Scientists defer to the demand partly because there is a widespread belief that a journal article is the appropriate grouping variable at which

The True Ones: Best Guess of True Proportion of 1s

ML models are generally used to make predictions about individual observations. Sometimes, however, the business decision is based on aggregate data. For example, say a company sells pants and wants to know how many will be returned over a certain period. Say the company has an ML model that predicts

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 a 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’ (MCs) 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 to 108th

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