Sep 9–12, 2019
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Shashank Prasanna
Senior Technical Evangelist, AI and ML, Amazon Web Services
Shashank Prasanna is a senior AI and machine learning evangelist at Amazon Web Services, where he focuses on helping engineers, developers, and data scientists solve challenging problems with machine learning. Previously, he worked at NVIDIA, MathWorks (makers of MATLAB), and Oracle in product marketing and software development roles focused on machine learning products. Shashank holds an MS in electrical engineering from Arizona State University.
Sessions
1:45pm–2:25pm Thursday, September 12, 2019
Location: 230 C
Secondary topics:
Deep Learning tools,
Machine Learning
Shashank Prasanna (Amazon Web Services)
Average rating:









(3.80, 5 ratings)
Machine learning involves a lot of experimentation. Data scientists spend days, weeks, or months performing algorithm searches, model architecture searches, hyperparameter searches, etc. Shashank Prasanna breaks down how you can easily run large-scale machine learning experiments using containers, Kubernetes, Amazon ECS, and SageMaker.
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