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).

Exploring and Predicting University Faculty Salaries

Exploring and Predicting University Faculty Salaries

Source Although data about faculty salaries at private universities can be difficult to find, getting data regarding faculty salaries at public universities is much easier. I’ve always been curious (even though I don’t want to go into academia myself!) which fields pay the best and why and if there is a way to predict your […]

A Guide to Gradient Boosted Trees with XGBoost in Python

A Guide to Gradient Boosted Trees with XGBoost in Python

XGBoost has become incredibly popular on Kaggle in the last year for any problems dealing with structured data. I was already familiar with sklearn’s version of gradient boosting and have used it before, but I hadn’t really considered trying XGBoost instead until I became more familiar with it. I was perfectly happy with sklearn’s version and didn’t think much of […]

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 […]