February 12, 2019

Down the Rabbit Hole, An Adventure in Over-Engineering

Software Engineers are often presented with problems that seem conceptually straightforward, but on further consideration present a number of complex
February 6, 2019

User-Specific Device Authorisation with AWS IoT

Amazon Web Services Internet of Things (AWS IoT) is a platform that simplifies building IoT applications by providing infrastructure and
January 24, 2019

Type-safe Exhaustiveness Checking in Java

Disclaimer: This post is an exploration of Java’s language features and is intended to be satire. You should obviously never
January 17, 2019

Experience Working at DSTIL

Brief Introduction Hi, my name is Richard Alysandratos, and over the last year I’ve been doing a 12-month work placement
October 10, 2018

Human Emotions for Objects

Emotional Design of Wearable Devices (Part 1/5)   Introduction: Objects and Human Emotions We may have feelings for an object
September 19, 2018

Raspberry Pi Hardware Interactions Part 3 – RGB LED Driver

This is the next installment of our blog post series on Raspberry Pi hardware interactions. In the past two posts
June 20, 2018

Running DSTIL’s Blog

The Blog So Far First of all, thanks for reading! We put a lot of work into the DSTIL blog,
October 26, 2017

Data Management for Data Scientists

Lessons from Software Engineering Although the field of data science is rapidly growing in popularity, there’s nothing new about data.
August 30, 2017

Taming Data in the Wild West of Project Management

Once Upon a Time in the Lab Our ability to process textual data has improved rapidly with the introduction of
February 3, 2017

Why Imperative Code Will Never Be Functional

For the sake of argument, let’s consider the smallest useful unit of software to be the humble function. Now let’s
December 21, 2016

Flexible Classifier Creation using the Pipeline

This post is part of the series One Pipeline to Train Them All that describes a pipeline for training textual
November 9, 2016

Creating the Flexible Classifier Pipeline

This post is part of the series One Pipeline to Train Them All which describes a pipeline for training textual
October 4, 2016

A Flexible Pipeline for Creating Classifiers

This post is part of the series One Pipeline to Train Them All which describes a pipeline for training textual
August 31, 2016

Addressing the Sad State of Data Science Libraries

The Rise of Data Science Libraries As the utility of data science techniques becomes more broadly recognised, many data science