July 11, 2018

Raspberry Pi Hardware Interactions Part 2 – Rotary Encoder

In the last post (Raspberry Pi Hardware Interactions Part 1 – Button) we began to explore the potential of the
July 4, 2018

A Recipe for Topic Modelling

Nowadays, most of us have  access to large volumes of information, particularly in the form of text. This wealth of
June 27, 2018

The Hidden Markov Model demystified (part 3)

Hidden Markov models (HMMs) are often used as black boxes to perform a wide range of classification and clustering tasks.
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,
June 15, 2018

DSTIL receives Google grant to develop next-gen workshops and curriculum

DSTIL Software Engineers and Academics from the Deakin School of IT to provide Digital Technologies Curriculum Outreach Workshops to Victorian
February 21, 2018

What’s the minimum amount of data needed to teach a Neural Network?

Go speak to a six year old child and ask if they can recognise a triangle versus a circle, or
June 27, 2018

The Hidden Markov Model demystified (part 3)

Hidden Markov models (HMMs) are often used as black boxes to perform a wide range of classification and clustering tasks.
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,
February 21, 2018

What’s the minimum amount of data needed to teach a Neural Network?

Go speak to a six year old child and ask if they can recognise a triangle versus a circle, or
December 13, 2017

From images to locations

This post is part of the image processing tools saga. In the first post of this series, we explored the
December 6, 2017

A Shaky Start to Motion Controls

The Trouble with Motion Realistic visualisation of human movement in a virtual environment is very important to increase user engagement
November 29, 2017

Models in Motorsports – The ones that win you the race! (part 1)

TL;DR: The motorsport industry is a large source of time series data. Models can be trained for classification, forecasting or
November 22, 2017

Implementation Details Are Coming to Kill Your Experiment

Keeping Your Sanity When it comes to data science projects, reproducibility is always nice to have, not only for the
November 15, 2017

Overcoming Overfitting

If one excludes the data ingestion process (including cleaning, massaging, ingesting, formatting, …) which can account for up to 70%