1. September 2016

    1. How Do Machine Learning Models Improve Over Time?

      The main question following 'Machine Learning for Humans' talk in Cambridge

      Last week I presented a talk on ‘Machine Learning for Humans’ at Cambridge DDD Nights (the slides are available together with the talk abstract is on my original post

      Following my talk the burning question was about how these machine learning models...

      • Data Science
      • Machine Learning
      • Presentations
    2. Amazon Redshift in Cambridge

      After Amazon Web Services’ Redshift was first launched in 2012 it became the fastest growing service in AWS’s history (according to Werner Vogels at AWS Summit 2015).

      To make such an impact Redshift obviously fulfilled a pent-up need. As a Data-Warehouse...

      • AWS
      • Big Data
      • Data
      • Presentations
      • Redshift
    3. Machine Learning for Humans in Cambridge & Peterborough

      A Year with Machine Learning

      A year ago I was an interested bystander to the field of Data Science and Machine Learning. From that perspective it seemed that there was a lot of magic involved - the high priests (mathematicians) with pages full of strange symbols and black box code that proclaimed “trust me for the answers”.

      • Data Science
      • Machine Learning
      • Presentations
  1. October 2016

    1. Using Spek with Maven

      Running Spek tests with the Maven Build System

      In this article we do a brief walk-through on how to use Maven to compile and run tests written using the Spek framework. Although we will be using the Kotlin language throughout similar steps are will be appropriate if you wish to use Spek specifications...

      • Java
      • Kluent
      • Kotlin
      • Maven
      • Spek
      • Testing
      • Walk-Through