Introduction Introduction to Neural Networks – Part 1 can be found here; and Part 2 here. So far these posts have only looked at single layer networks and how to train them. However […]
Introduction to Neural Networks – Part 3
Introduction to Neural Networks – Part 2
Introduction Introduction to Neural Networks – Part 1 can be found here. In practice training neural networks can become a difficult and time consuming process and a question of trial and error. […]
Introduction to Neural Networks – Part 1
Introduction When creating inventions or algorithms, it is not unusual to look for inspiration in nature. The original camera design is loosely based on the inner workings of the eye, velcro was […]
Big Data in Education: Security and Privacy Issues
Introduction In the hype behind Big Data it is easy to forget questions of security and privacy. This is a sensitive issue in education as it involves the privacy of minors’ data […]
Big Data in Cities: Benefits and Challenges
Introduction By 2050 it is expected that 70% of the world’s population will live in cities. Management of infrastructure and utility assets is therefore a growing priority. After decades of poor resource […]
How Hadoop has Developed as an Enterprise Software
Introduction In the hype surrounding “Big Data” and data analytics, Hadoop gets much attention as it has fast become the technology of choice. However at times little space is given to describing […]
Knowledge Discovery – Text Mining Using R
Introduction Text mining via analysis of online text sources is a vital tool for gaining new knowledge and insights into people’s habits, sentiments and for monitoring social progress. While search engines exist […]
Data Visualisations in R
Introduction to R Producing basic statistical analysis can be quite complex with many of the programming languages used in mathematical programming such as C++, Java, VBA or Python. For this reason a […]
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