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Scooped by Dr. Stefan Gruenwald onto Science-Videos |
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Free biology talks by the world's leading scientists. Our mission is to produce a library of outstanding science lectures. We will add 15-20 seminars per year in a wide-range of biology topics. Access, through web streaming or download, is completely free-of-charge. Also check out our iBioMagazine channel, where you can watch ~10 minute talks about the human-side of science.
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Mike Dewar (Data Scientist, bit.ly), presents a talk on getting started with data driven design in Javascript to the New York Open Statistical Programming Meetup on Jan. 12, 2012. Mike Bostock's d3 javascript library has lately taken the internet by storm, being the engine underlying a very beautiful set of visualisations (mbostock.github.com/d3/). Because of this, many have investigated d3.js as a potential addition to their current visualisation stack, only to fall over one of some common hurdles. This talk will demonstrate how to clear these first few hurdles, including: The talk will be useful to those who are curious about using d3.js and wants to get started making interactive and dynamic statistical visualisations. You can download the slides (all written with d3.js) from Mike Dewar's Github: github.com/mikedewar/d3talk Delete the scoop?
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Classical optimization techniques have found widespread use in machine learning. Convex optimization has occupied the center-stage and significant effort continues to be still devoted to it.
Pattern Analysis, Statistical Modelling and Computational Learning » NIPS Workshop on Optimization for Machine Learning, Whistler 2008.
Training a Binary Classifier with the Quantum Adiabatic Algorithm
Polyhedral Approximations in Convex Optimization
Optimization in Machine Learning: Recent Developments and Current Challenges
Large-scale Machine Learning and Stochastic Algorithms
Online and Batch Learning Using Forward-Looking Subgradients
Robustness and Regularization of Support Vector Machines
Tuning Optimizers for Time-Constrained Problems using Reinforcement Learning. Delete the scoop?
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