https://www.meetup.com/Las-Vegas-R-Users-Group/events/237505653/
https://www.meetup.com/Data-Science-Las-Vegas/events/237505738/
Date: April 27, 2017
Place: Las Vegas, NV @ InNEVation
Speaker: Daniel Emaasit
Machine Learning has gone mainstream and now powers several real world applications like autonomous vehicles at Uber & Tesla, recommendation engines on Amazon & Netflix, and much more. This meetup will introduce probabilistic machine learning and probabilistic programming with Stan. We will discuss the basics of machine learning from a probabilistic/Bayesian perspective and contrast it with traditional/algorithmic machine learning.
We will also discuss how to build probabilistic models in computer code using a new exciting programming paradigm called Probabilistic Programming (PP). Particularly we shall use Stan (within R), a PP language, to build models ranging from simple generalized linear models to complex hierarchical models and nonparametric models for machine learning.
Please come with a laptop with the following software installed:
- R + RStudio:- Follow this link to install R. Also install the LATEST version of RStudio.
- rstan:- Follow this link to install rstan on MacOS/Linux or this link for Windows.
- bayesplot:- Follow this link to install bayesplot
Daniel Emaasit is a PhD student of Transportation Engineering at UNLV. His research interests involve developing flexible probabilistic/Bayesian machine learning models for high-dimensional data with applications to urban mobility, travel demand modeling, and highway safety analysis.