Home  Press  Publications  Teaching  Students  Talks  Conferences  BioSelected TalksScaling Computer Vision in the Cloud, Fermilab MLlib and Distributing the Singular Value Decomposition, Stanford University Dimension Independent Matrix Square, MMDS 2014, UC Berkeley The Libraries of Spark, Keynote at Data Science Bootcamp MLlib and AllPairs Similarity, University of Maryland Distributed Computing with Spark, University of Maryland Distributing Matrix Computations with Spark MLlib, Spark Meetup Distributed Computing with Spark, eBay, Bay Area ACM Towards a Principled Theory of Clustering, Carnegie Mellon University Matrix Factorization and Spark, Codeneuro, San Francisco Apache Spark in Four Parts, Raytheon Spark Camp: An Introduction to Apache Spark with Handson Tutorials, Strata 2015 Dimension Independent Matrix Square using MapReduce, McGill University Distributed Machine Learning on Spark, Toronto Hadoop User Group The Three Dimensions of Scalable Machine Learning, Boston Spark Meetup Advanced Data Science, Spark Summit 2015 Advanced Data Science, Toronto Apache Spark User Group Hard Core Data Science, Strata NY 2015 Video LecturesAdvanced Data Science, one day class [video] [slides] Machine Learning on Spark, Keynote at San Francisco Bay ACM [video] Dimension Independent Similarity Computation using MapReduce, MMDS 2014 [video] Introduction to Distributed Computing with Spark, San Francisco Bay ACM [video] A Uniqueness Theorem for Clustering, CMU Machine Learning Lunch 2009 [video] Supervised Clustering, NIPS 2011 [video] Matrix Computations on Spark, CodeNeuro 2014 [video] Approximation Algorithms Lecture (CME 305 at Stanford) [video] 
