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Jesse Steinweg-Woods

Jesse Steinweg-Woods

Senior Data Scientist at tronc

Bio: I am currently a Senior Data Scientist at tronc (Tribune Publishing online content), working on recommender systems for articles and better understanding our readers at great papers such as the Los Angeles Times and Chicago Tribune. I prefer open-source tools (especially Python).

An Introduction to Deep Learning using nolearn

An Introduction to Deep Learning using nolearn

NOTE: If you are having trouble with nolearn working properly, make sure you are using version 0.5b1 available here. Otherwise you may run into problems. One of the most well known problems in machine learning regards how to categorize handwritten numbers automatically. Basically, the idea is that you have 10 different digits (0-9) and you […]

A Gentle Introduction to Recommender Systems with Implicit Feedback

A Gentle Introduction to Recommender Systems with Implicit Feedba...

Recommender systems have become a very important part of the retail, social networking, and entertainment industries. From providing advice on songs for you to try, suggesting books for you to read, or finding clothes to buy, recommender systems have greatly improved the ability of customers to make choices more easily. Why is it so important […]