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Tag Archives: machine learning
Distance between Words
Which pair is more different? keyboard  keyb`ard keyboard  keybpard keyboard  keebored Of course in mathematics we get to decide among many definitions of size and there is no “correct” answer. Just what suits the application. I can … Continue reading
Posted in Uncategorized
Tagged Bayesian, big data, computer, distance, letters, machine learning, Markov property, math, mathematical modelling, mathematics, maths, privacy, text mining, typing, words
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I feel vindicated in several ways by the Netflix Engineering team’s recent blog post explaining what they did with the results of the Netflix Prize. What they wrote confirms what I’ve been saying about recommendations as well as my experience … Continue reading
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Tagged BellKor, business, collaborative filtering, computational homology, consulting, dimension reduction, domain knowledge, Doug Hinton, econometrics, ensemble methods, Gilbert Strang, John Wilder Tukey, Kaggle, linear algebra, machine learning, Netflix, neural networks, Pragmatic Chaos, RBM's, recommendation engines, regression, restricted Boltzann machines, statistics, SVD, topology, web startups
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visualisation of how the kernel trick makes a nonseparable collection of points linearly separable. I guess the kernel mappings really add a dimension, rather than replacing a dimension, don’t they. (Source: http://www.youtube.com/)
Upon my return [to academia, after years of private statistical consulting], I started reading the Annals of Statistics … and was bemused. Every article started with: Assume that the data are generated by the following model… followed by mathematics exploring … Continue reading
Quote
November 12, 2011
Tagged academia, academic jousting matches, academic trends, academic trifles, academic wars, academics getting off track, artificial intelligence, C P Snow, econometrics, image recognition, Leo Breiman, machine learning, math, mathematics, maths, psychometrics, random forests, signal processing, statistics
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“The anchovies were nowhere near the sardines and the tuna. That’s because they were near the pizza toppings. But it was only a problem because this was a threedimensional grocery store. If it had been a thirtydimensional grocery store they could … Continue reading
Support Vector Machines and Gender Differences
Earlier I wrote that gender is like a maximally separating hyperplane, including vast withingender differences? I was trying to use maths to end the war of the sexes. Some who read it didn’t know what a support vector machine was. You … Continue reading
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Tagged artificial intelligence, econometrics, feminism, feminisms, gender, LGBTQ, machine learning, math, mathematics, maths, philosophy, science, sexism, support vector machines, SVM's
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Linear combinations of eigenfaces — images like the above — are the cheapest way to store and search photos of faces. Like if you want to computer analyse the faces of everyone at the Superbowl and see if there’s a … Continue reading
Recommendation Engines
The Netflix Prize was awarded to the team with the algorithm that most accurately guessed people’s movie tastes. Accurate, according to some measure: rootmeansquared error, or the L2 norm. In my opinion, that’s the wrong measure of success. Netflix selected … Continue reading
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Tagged business intelligence, data mining, machine learning, recommendation engines
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Recommendation Engines
The Netflix Prize was awarded to the team with the algorithm that most accurately guessed people’s movie tastes. Accurate, according to some measure: rootmeansquared error, or the L₂ norm. In my opinion, that’s the wrong measure of success. Netflix selected … Continue reading
Posted in Uncategorized
Tagged business intelligence, data mining, education, machine learning, math, mathematics, maths, Netflix, recommendation engines
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In a space of high dimensionality, most of the volume of a cube is concentrated in the large number of corners, which … become very long ‘spikes’! (Reason being: The ratio of the distance from the centre of a Ddimensional … Continue reading