Recently Facebook hired Vapnik, the father of the Support Vector Machine (SVM) and the Vapnik-Chrevoniks Statistical Learning Theory. Lesser known, Vapnik has also pioneered methods of
In this series of posts we look at Transductive and SemiSupervised Learning–an old problem, a hard problem, and a fundamental problem Machine Learning. Unlike Deep Learning or large scale ML,
Ever wonder what Google DeepMind is up to? They just released a paper on Semi-Supervised learning with Deep Generative Models. What is Semi Supervised Learning (SSL)? In this
SVMs are great for building text classifiers–if you have a set of very high quality, labeled documents. Frequently, we just don’t have enough labelled data!
My talk from Berkeley is up on the new Calculation Consulting YouTube channel https://www.youtube.com/channel/UCaao8GHAVcRtSZdpObC4_Kg
We are going to examine the Partition function that arises in Deep Learning methods like Restricted Boltzmann Machines. We take the pedagogic formalism of Statistical