Better Big Data Algorithms with H2O by 0xdata

Get Big Data and Better Algorithms with H2O by 0xdata. H2O makes hadoop do math and scales statistics and machine learning over Big Data. H2O is extensible and users can build blocks using simple math legos at the core and keeps familiar interfaces like R, Excel & JSON. So big data enthusiasts and experts can explore, model and score data sets using a range of simple to advanced algorithms. H2O makes it easier to derive insights from your data through faster and better predictive modeling. In this talk we look at design and implementation of multi-node highly parallel Generalized Linear Modeling & Distributed Random Forests. And use it to analyze Airline Dataset of 120M rows over 700+ categorical columns.

Bios:

Cliff Click

Cliff Click is the CTO and Co-Founder of 0xdata (http://0xdata.com/). Cliff wrote his first compiler when he was 15 (Pascal to TRS Z-80!), although he is mostly known for building the HotSpot Server Compiler (the Sea of Nodes IR). Cliff worked on the HotSpot Java Virtual Machines at Sun Microsystems and is partially responsible for bringing Java into the mainstream. Later Cliff helped Azul Systems build an 864 core mainframe that keeps GC pauses on 500GB heaps to under 10ms, and worked on all aspects of that JVM. Cliff speaks regularly at industry and academic conferences around the globe and has published many papers about HotSpot technology. Cliff holds a PhD in Computer Science from Rice University and about 15 patents.

SriSatish Ambati

Sri is co-founder and ceo of 0xdata (@hexadata), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before 0xdata, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale. Before that Sri was at sabbatical pursuing Theoretical Neuroscience at Berkeley. Prior to that Sri worked on nosql trie based index for semistructured data at in-memory index startup RightOrder. Sri is known for his knack for envisioning killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker in the BigData, NoSQL and Java circuit, Sri leaves trail @srisatish.