Past Meetup

Big Data Science Meetup Event

This Meetup is past

100 people went


1:30pm-2:00pm - Networking

2:00pm-2:45pm - Session 1

Title : What’s the Big Picture for Big Health Data?

Speaker: Tracy Allison Altman, co-founder of PepperSlice

Abstract: Healthcare is undergoing a radical transformation in the U.S., and data is playing a central role. Research methods, outcomes measurement, and business models are shifting. This presentation will highlight how big health data is contributing. Topics will include: Differences between big health data and other big data, sources of big health data and uses for it, analytical methods, algorithms/prize competitions, and opportunities for data scientists.

Speaker Bio: Tracy Allison Altman, PhD is co-founder of PepperSlice, a startup that combines streams of health analytics and communicates them on a human scale. Tracy has developed an evidence-based way to identify essential relationships in analytics, research, and data. Previously she worked in enterprise data integration, science publishing, and petroleum. Tracy’s education is in chemical engineering, computer science, and public policy analysis. Her blog/Twitter feed is @EvidenceSoup.
2:45pm-3:00pm – Q&A

3:00pm-3:45pm – Session 2

Title : Big Data and Better Algorithms with H2O

Speaker : SriSatish Ambati, co-founder and ceo of 0xdata

Abstract : 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.

Speaker Bio : 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 semi-structured 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.

3:45pm-4:00pm – Q&A

4:00pm-5:00pm - Networking

Coffee and Light Snacks will be available.