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DZ

Da Zheng

Johns Hopkins University
I'm a PhD student of computer science at Johns Hopkins University. I'm working on building large-scale data analysis frameworks, especially for graph analysis and machine learning.
Monday, June 27
 

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

1:00pm PDT

Introduction to SparkR (Part 1) Econ 140
 
Tuesday, June 28
 

10:30am PDT

R in machine learning competitions McCaw Hall

11:24am PDT

Distributed Computing using parallel, Distributed R, and SparkR SIEPR 130

1:36pm PDT

CVXR: An R Package for Modeling Convex Optimization Problems McCaw Hall What can R learn from Julia Lane & Lyons & Lodato

4:45pm PDT

R at Microsoft McCaw Hall

5:39pm PDT

Rho: High Performance R McCaw Hall

5:57pm PDT

Applying R in streaming and Business Intelligence applications Barnes & McDowell & Cranston
 
Wednesday, June 29
 

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO Econ 140

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:20pm PDT

How Teradata Aster R Scales Data Science Lane & Lyons & Lodato

1:30pm PDT

Statistical Computing with R Lane & Lyons & Lodato

1:40pm PDT

Changing lives with Data Science at Microsoft Lane & Lyons & Lodato

2:05pm PDT

Making the R community more open Lane & Lyons & Lodato
 
Thursday, June 30
 

10:50am PDT

ranger: A fast implementation of random forests for high dimensional data Lane & Lyons & Lodato

11:26am PDT

Big data algorithms for rank-based estimation Lane & Lyons & Lodato

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:20pm PDT

R for Big Data and Applications: Using R at Oracle Lane & Lyons & Lodato

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall