Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Vartika Singh

Vartika Singh
Solutions Architect, Cloudera

Vartika Singh is a solutions architect at Cloudera with over 12 years of experience applying machine learning techniques to big data problems.

Sessions

9:00am12:30pm Tuesday, September 26, 2017
Machine Learning & Data Science, Spark & beyond
Location: 1A 12/14 Level: Intermediate
Secondary topics:  Deep learning
Vartika Singh (Cloudera), Jeffrey Shmain (Cloudera)
Average rating: **...
(2.50, 6 ratings)
Vartika Singh and Jeffrey Shmain walk you through various approaches using the machine learning algorithms available in Spark ML to understand and decipher meaningful patterns in real-world data. Vartika and Jeff also demonstrate how to leverage open source deep learning frameworks to run classification problems on image and text datasets leveraging Spark. Read more.
1:30pm5:00pm Tuesday, September 26, 2017
Artificial Intelligence
Location: 1A 12/14 Level: Intermediate
Secondary topics:  Deep learning, Healthcare
Josh Patterson (Skymind), Vartika Singh (Cloudera), Dave Kale (Skymind), Tom Hanlon (Functional Media)
Average rating: **...
(2.00, 1 rating)
Josh Patterson, Vartika Singh, David Kale, and Tom Hanlon walk you through interactively developing and training deep neural networks to analyze digital health data using the Cloudera Workbench and Deeplearning4j (DL4J). You'll learn how to use the Workbench to rapidly explore real-world clinical data, build data-preparation pipelines, and launch training of neural networks. Read more.