Name: Scalable, distributed machine learning with Pachyderm
Start: 2017-05-11T18:00:00-05:00
End: 2017-05-11T21:00:00-05:00
Location: National Association of Realtors

Scalable, distributed machine learning with Pachyderm

The recent advances in machine learning and artificial intelligence are amazing! Yet, in order to have real value within a company, data scientists must be able to get their models off of their laptops and deployed within a company’s data pipelines and infrastructure. Those models must also scale to production size data. In this workshop, we will implement a deep learning model locally using Nervana Neon. We will then take that model and deploy both it's training and inference in a scalable manner to a production cluster with Pachyderm, an open source framework for data versioning and processing. We will also learn how to update the production model online, track changes in our model and data, and explore our results.

About Dr. Daniel Whitenack

Daniel (@dwhitena) is a Ph.D. trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines which include predictive models, data visualizations, statistical analyses, and more. He speaks at conferences around the world (ODSC, Spark Summit, Datapalooza, DevFest Siberia, GopherCon, and more), teaches data science/engineering with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.

Garrett Smith

Aleksandar Velkoski

Chicago ML

Technology

Machine Intelligence

Artificial Intelligence Applications

Artificial Intelligence Programming

Data Analytics

New Technology

Computer Programming

Big Data

Artificial Intelligence

Machine Learning

Neural Networks

Data Science

Deep Learning

Mathematics

Python

Scalable, distributed machine learning with Pachyderm

National Association of Realtors

Share

Chicago ML

Scalable, distributed machine learning with Pachyderm

Chicago ML

Details

Members are also interested in