First-ever Scalable, Distributed Deep Learning Architecture using Spark and Alluxio
Deeply Active Learning: Approximating Human Learning with Smaller Datasets
Seeing Behaviors as Humans Do׃ Uncovering Hidden Patterns in Time Series Data with Deep Networks
How to Tell Compelling Data Stories: Why Stories are Still Important in a Data-driven World
Automatic Features Generation And Model Training On Spark: A Bayesian Approach
TheCUBE Interview - Spark Summit 2016
Christopher Nguyen and Ben Lorica chat about Deep Learning on time-series data: why it matters and how best to embrace it. Learn how we help customers across industries charge ahead with Deep Learning. You’ll also get overviews of innovation in China and advancements in Artificial Intelligence.
Christopher Nguyen shares the evolution of Hadoop and Spark, the reason why we want to make machine learning a property of every application; as well as how Arimo is making data intelligence accessible for everyone.