Archive for October, 2009
Machine Learning – Day 5
So that’s the end of the taught course in Machine Learning, finishing up learning about Markov Chains and Hidden Markov Models. Yep, those are just links to the Wikipedia articles, and it’s quite possible that if you clicked on them and you’re anything like me, the crazy-looking maths stuff at the other end made the [...]
In: Computer Science, Machine Learning, MSc
Machine Learning – Day 4
Day 4 covered methods of automatically identifying clusters in data – and some of the issues that arise using those techniques. Doing this automatic identification is called unsupervised learning, because it doesn’t depend on having a set of labelled data examples to hand. The learning is done purely based on the statistical and probabilistic properties of [...]
In: Machine Learning, MSc
about:robots
Welcome to my shortest blog post to date. If you’re a Firefox user and you’ve not yet typed about:robots into your address bar, you’re missing out on an Easter Egg. That concludes today’s public information announcement. Cheers! These are my thoughts and opinions and do not reflect those of anyone else. Read the disclaimer for [...]
In: Uncategorized
Machine Learning – Day 3
Getting through the coursework was a challenge – my computers have never worked so hard. The last section involved performing a computation over a data set that took a few seconds per run to exhaustively search for the optimal settings for two parameters in the computation’s algorithm. Searching over 25 possible settings doesn’t sound like [...]
In: Computer Science, Machine Learning, MSc
Machine Learning – Day 2
Day 2 of the Machine Learning MSc module at Manchester saw us learning about Decision Trees and the role that entropy, linear correlation and mutual information can play. It’s all about categorical data (like name, a set of fixed values), whereas last week was about the automated classification of continuous data (like temperature, a smooth [...]
In: Machine Learning, matlab, MSc