The Yhat Blog

machine learning, data science, engineering

  • 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 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.

  • Analyzing 50k fonts using deep neural networks

    by Erik Bernhardsson | Oct 18 2016

    I built a simple neural network using Lasagne/Theano to analyze a bunch of fonts

  • Image Recognition in Python with Keras

    by Greg | Oct 13 2016

    Using a deep neural net to detect what's in an image.