The Yhat Blog


machine learning, data science, engineering




  • "How I Interview Data Scientists" with Matt Fornito

    by Matt Fornito | Dec 13 2016

    Matt Fornito describes how he interviews data science candidates


  • Evaluating Data Science Tools: Off the Shelf Analytics versus ScienceOps

    by Yhat | Dec 08 2016

    Joe and his team needed a way to deploy R scripts into production. Here's how they chose between off-the-shelf analytics and Yhat's ScienceOps.


  • Pandas Cheat Sheet for Data Science in Python

    by Karlijn Willems | Nov 30 2016

    This cheat sheet is a quick reference for Pandas beginners


  • Lumiata Uses Yhat Platform to Deliver AI-Powered Health Predictions

    by Newswire | Nov 21 2016

    Yhat's ScienceOps Solves Language Incompatibilities between Artificial Intelligence Algorithms and Digital Applications


  • Rodeo v2.4.8: Movable terminal, Linux .deb support and more!

    by Colin | Nov 15 2016

    Move your terminal (and all your tabs!) around to your liking


  • Random Forests in Python

    by Yhat | Nov 07 2016

    An introduction to working with random forests using Python


  • Predicting the Presidential Election

    by Greg | Nov 02 2016

    How to simulate and predict the likelihood each candidate will win a state using R, XML and ggplot2


  • Interview with a Data Scientist: Greg Linden

    by Peadar Coyle | Oct 31 2016

    Greg Linden invented the item-to-item collaborative filtering algorithm at Amazon.com in the late 90's


  • Classifying handwritten digits using TensorFlow

    by Greg | Oct 28 2016

    Taking someone's handwriting and trying to predict what that person wrote


  • Machine Learning as a Service

    by Yhat | Oct 20 2016

    Prior to using ScienceOps, SVG used Machine Learning as a Servcie (MLaaS) software to expose lead scoring models to lead vendors' APIs.