Support Vector Machines (SVM) is an important and widely used machine learning algorithm. In order to fully understand SVMs, you need to have a fundamental understanding of how the statistical learning method functions. Here is a useful lecture on SVM coming from MIT OpenCourseware.
The video presentation below is a highly compelling talk by Stanford University professor and Coursera co-founder, Dr. Andrew Ng. Andrew addresses a graduate summer school audience at UCLA’s IPAM (Institute for Pure & Applied Mathematics) on the topic – Deep Learning, Feature Learning.
Mining Big Data can be an incredibly frustrating experience due to its inherent complexity and a lack of tools.
From the SciPy2013 conference, here is a compelling talk “Data Agnosticism: Feature Engineering Without Domain Expertise” by Nicholas Kridler of Accretive Health in Chicago.
Hadoop YARN (Yet Another Resource Negotiator) is a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of user applications. YARN was added as part of Hadoop 2.0. Over the past several months of going to conferences like Hadoop Summit, attending big data Meetup groups like LA Big Data Users […]
For this segment of insideBIGDATA Data Science 101, we have a very compelling Google Tech Talk “Building Brains to Understand the World’s Data” presented by Jeff Hawkins, co-founder of Numenta and who also founded Palm and Handspring.
In the video presentation below, industry luminary John Chambers makes a keynote presentation at the recent useR! 2014 conference, Interfaces, Efficiency and Big Data.
Coming to us from the recent Spark Summit 2014, here is a compelling presentation by Databricks CEO Ion Stoica that sets the stage for Spark’s continued advance in the big data ecosystem. The Databricks Cloud provides the full power of Spark, in the cloud, plus a powerful set of features for exploring and visualization your data, as well as writing and deploying production data products.