Data Piques

Feb 05, 2017

Dec 05, 2016

Nov 07, 2016

Learning to Rank Sketchfab Models with LightFM

In this post we're going to do a bunch of cool things following up on the last post introducing implicit matrix factorization. We're going to explore Learning to Rank, a different method for implicit matrix factorization, and then use the library LightFM to incorporate side information into our ...

Oct 19, 2016

Oct 09, 2016

Likes Out! Guerilla Dataset!

-- Zack de la Rocha

tl;dr -> I collected an implicit feedback dataset along with side-information about the items. This dataset contains around 62,000 users and 28,000 items. All the data lives here inside of this repo. Enjoy!

In a previous post, I wrote about how to use matrix ...

Aug 30, 2016

Jul 20, 2016

I'm all about ML, but let's talk about OR

You've studied machine learning, you're a dataframe master for massaging data, and you can easily pipe that data through a bunch of machine learning libraries.

You go for a job interview at a SAAS company, you're given some raw data and labels and asked to predict churn ...

Jan 09, 2016

Explicit Matrix Factorization: ALS, SGD, and All That Jazz

In my last post, I described user- and item-based collaborative filtering which are some of the simplest recommendation algorithms. For someone who is used to conventional machine learning classification and regression algorithms, collaborative filtering may have felt a bit off. To me, machine learning almost always deals with some function ...

Nov 02, 2015

Intro to Recommender Systems: Collaborative Filtering

I've written before about how much I enjoyed Andrew Ng's Coursera Machine Learning course. However, I also mentioned that I thought the course to be lacking a bit in the area of recommender systems. After learning basic models for regression and classification, recommmender systems likely complete the triumvirate ...

Oct 06, 2015

Yet Another PhD to Data Science Post (Part III)

This is the final part in my series on going from PhD to Data Science (parts I and II). As previously mentioned, while I was demoing my Insight project at companies, I also spent a good bit of time studying for interviews. The technical areas of study for interviews can ...

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