I realise this is probably the way the web is going, but I personally really struggle with this sort of presentation. The content is great, it looks lovely, the actual infographics are very clear, and unlike lots of sites, it actually scrolls very, very smoothly.<p>But it makes it _so_ hard to bookmark something in your mind, or to skip back to something, or to view an infographic in the context of the next or previous paragraph, or any number of things that have been easy to do with text and images for thousands of years. Trying to change the text size in the hope that you can just view more text breaks everything.<p>I find it really affects my overall comprehension of a piece, and the speed with which I can get through it. Given the universally positive comments elsewhere, I assume my brain is just wired for the dark ages.
Great piece & truly awesome visualization.<p>I would add, as useful resource, this full course on Amazon Machine Learning: <a href="https://cloudacademy.com/amazon-web-services/courses/amazon-machine-learning/" rel="nofollow">https://cloudacademy.com/amazon-web-services/courses/amazon-...</a>
Pretty visualizations... but many of the animations kill this for me. Some are great, animating the decision-tree-pachinko machine for training/CV data sets is fantastic... but all the swooping and building just made me want to skip half of the charts entirely.
This appeared in Show HN a few weeks ago [1]; really awesome visualizations.<p><a href="https://news.ycombinator.com/item?id=9955553" rel="nofollow">https://news.ycombinator.com/item?id=9955553</a>
Well I didn't learn anything I didn't already know but It was fun to read and I think that for someone completely new to the field it would act as a good introduction to the idea of decision trees.<p>I think the title promises too much though (I realize that it is probably meant as an overall title for series of posts). There is no machine learning in this presentation, no algorithms for discovering the splits are described so the machine doesn't learn anything.
In the "scatterplot matrix" visualization, I am having trouble understanding what the X & Y axes are. Please explain the triangle of scatterplots being formed using the 7 dimensions?
Brilliant article and fantastic intro, though I think some key concepts aren't discussed at all, such as bias and variance. Looking forward to future articles.
Beautiful - in my opinion, a great example of fancy interactive graphics enhancing both the appearance and the ease of understanding an article. Great work!