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useR!2017

Alok Singh

IBM
Principal Engineer
San Francisco, CA

Alok Singh is a Principal Engineer at the IBM Spark Technology Center, where he leads the HydraR project. He has built and architected multiple analytical frameworks and implemented machine learning algorithms. His interest is in creating Big Data and scalable machine learning software and algorithms and has presented on the those topics on various internal and external conferences.

9:30am

Introduction to Bayesian inference with JAGS 2.01 Introduction to parallel computing with R 3.01 Solving iteration problems with purrr 3.02

11:30am

Introduction to Bayesian inference with JAGS 2.01 Introduction to parallel computing with R 3.01 Solving iteration problems with purrr 3.02

2:00pm

Introduction to Natural Language Processing with R 3.02

4:00pm

Introduction to Natural Language Processing with R 3.02

5:30pm

WELCOME RECEPTION CATERING POINTS

11:00am

Robets: Forecasting with Robust Exponential Smoothing with Trend and Seasonality 2.01 Transformation Forests 2.02

11:18am

A Benchmark of Open Source Tools for Machine Learning from R 2.02 Adaptive Subgroup Selection in Sequential Trials 3.01

3:30pm

Sponsor Talk Data Camp PLENARY

3:45pm

KEYNOTE: Teaching data science to new useRs PLENARY

5:00pm

Navigating the R package universe PLENARY

1:48pm

Deep Learning for Natural Language Processing in R 3.02

3:45pm

KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It PLENARY

5:30pm

R Blogging with blogdown and GitHub 3.02

5:40pm

Automatic Machine Learning in R 4.02

5:45pm

Digital Signal Processing with R 3.01

6:00pm

Advanced R Solutions -- A Bookdown Project 3.01

6:10pm

minimalRSD and FMC: R packages to construct cost efficient experimental designs 2.01 ROI - R Optimization Infrastructure 3.01

6:15pm

simmer: Discrete-Event Simulation for R 3.01

6:20pm

Better Confidence Intervals for Quantiles 2.01 Ultra-Fast Data Mining With The R-KDB+ Interface 4.02

1:15pm

KEYNOTE: 20 years of CRAN PLENARY