The Yhat Blog


machine learning, data science, engineering




  • Self-Organising Maps: In Depth

    by David Asboth | Mar 16 2017

    A step by step guide to training and using self-organizing maps (SOMs), a lesser known but very useful machine learning algorithm


  • Self-Organising Maps: An Introduction

    by David Asboth | Mar 14 2017

    When you learn about machine learning techniques, Self-Organising Maps (SOM) isn't one of the usual suspects, but is super useful and awesome.


  • Isochrones using the Google Maps Distance Matrix API

    by Drew Fustin | Mar 09 2017

    [tl;dr] I wrote a Python module called isocronut that will calculate isochrones around an origin point.


  • The Current State of Automated Machine Learning

    by Matt Mayo | Mar 07 2017

    What is automated machine learning, what tools are available, and what does its future hold?


  • Artificial Intelligence in Lending

    by Austin Ogilvie | Mar 02 2017

    Automation promises faster, informed decisions on business loans—and the potential for being able to approve a wider range of borrowers


  • A Simple Trending Products Recommendation Engine in Python

    by Chris Clark | Feb 28 2017

    Using matplotlib, pandas and numpy to build an algorithm that shows Grove.co shoppers what's trending


  • Beginner's Guide to Customer Segmentation

    by Greg | Feb 24 2017

    Step by step tutorial on using K-Means clustering to analyze your customer base.


  • Limited Bandit Beta!

    by Yhat | Feb 22 2017

    We are introducing a new product to the Yhat suite: a centralized system of record for data science teams called Bandit!


  • R for Excel Users

    by Gordon Shotwell | Feb 14 2017

    Why learning new things is hard, plus four fundamental differences between Excel and R


  • 5 Machine Learning Projects You Can No Longer Overlook

    by Matthew Mayo | Feb 10 2017

    Which of the plethora of ML projects are actively developed and worth checking out? Here is a list of 5 such projects.