Here’s a chart I drew for myself to understand the relationships between chords in music theory. Doesn’t seem to have much to do with machine learning and statistics but in a way it does since I found it a lot easier to picture the chords existing in a sort of network space linked by similarity. Similarity here is defined as the removal or addition of a note, or the sliding of a note one semitone up or down. What’s wrong with me!
About the Author
Simon Raper I am an RSS accredited statistician with over 15 years’ experience working in data mining and analytics and many more in coding and software development. My specialities include machine learning, time series forecasting, Bayesian modelling, market simulation and data visualisation. I am the founder of Coppelia an analytics startup that uses agile methods to bring machine learning and other cutting edge statistical techniques to businesses that are looking to extract value from their data. My current interests are in scalable machine learning (Mahout, spark, Hadoop), interactive visualisatons (D3 and similar) and applying the methods of agile software development to analytics. I have worked for Channel 4, Mindshare, News International, Credit Suisse and AOL. I am co-author with Mark Bulling of Drunks and Lampposts - a blog on computational statistics, machine learning, data visualisation, R, python and cloud computing. It has had over 310 K visits and appeared in the online editions of The New York Times and The New Yorker. I am a regular speaker at conferences and events. View all posts by Simon Raper