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Gaurav

https://gsood.com

About 85% Problematic: The Trouble With Human-In-The-Loop ML Systems

MIT researchers recently unveiled a system that combines machine learning with input from users to ‘predict 85% of the attacks.’ Each day, the system winnows down millions of rows to a few hundred atypical data points and passes these points on to ‘human experts’ who then label the few hundred

Interpeting Clusters and 'Outliers' from Clustering Algorithms

Assume that the data from the dominant data generating process are structured so that they occupy a few small portions of a high-dimensional space. Say we use a hard partition clustering algorithm to learn the structure of the data. And say that it does—learn the structure. Anything that lies

Sampling With Coprimes

Say you want to sample from a sequence of length n. Multiples of a number that is relatively prime to the length of the sequence (n) cover the entire sequence and have the property that the entire sequence is covered before any number is repeated. This is a known result

Clarifai(ng) the Future of Clarifai

Clarifai is a promising AI start-up. In a short(ish) time, it has made major progress on an important problem. And it is rapidly rolling out products with lots of business potential. But there are still some things that it could do. As I understand it, the base version of

I Recommend It: A Recommender System For Scholarship Discovery

The rate of production of scholarship has never been higher. And while our ability to discover relevant scholarship per unit of time has never kept pace with the production of knowledge, it has also risen sharply—most recently, due to Google scholar. The efficiency of discovery of relevant scholarship, however,

Companies With Benefits or Potential Welfare Losses of Benefits

Many companies offer employees ‘benefits.’ These include paying for healthcare, investment plans, company gym, luncheons etc. (Just ask a Silicon Valley tech. employee for the full list.) But why ‘benefits’? And why not cash? A company offering a young man a zero-down health care plan seems a bit like within-company

Beyond Anomaly Detection: Supervised Learning from `Bad' Transactions

Nearly every time you connect to the Internet, multiple servers log a bunch of details about the request. For instance, details about the connecting IPs, the protocol being used, etc. (One popular software for collecting such data is Cisco’s Netflow.) Lots of companies analyze this data in an attempt