Virtual Event Agenda

July 17, 2021           9AM - 12:45PM PDT

Sessions will be recorded and uploaded to Youtube

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Event Kickoff

9:00am - 9:15am PDT

Mark Moyou 

Senior Data Scientist @NVIDIA

Conference Chair SDSC

Welcoming everyone to the event

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ML Models in Image Search: Selecting for the User

9:15am - 9:45am PDT

Andrea Gagliano

Director of ML/AI @ Getty Images

Image search relies on many different types of data – some sourced from image creators, some developed by machine learning models, some extracted from the surrounding image context. Different data is optimal for different search models, but what data is best for the user? This talk will discuss leveraging machine learning in image search, while keeping the user top of mind.   

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NLP at Scale

9:45am - 10:20am PDT (5min intermission included)

Andrei Lopatenko

VP Engineering, Head of Search and Conversational AI @ Zillow 

 A deep dive into industrial applications of NLP and best practices for building NLP systems

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Training Models at Scale on the Cloud with Grid.ai

10:20am - 10:50am PDT

William Falcon

CEO & Founder @ Grid.ai

Creator of PyTorch Lightning

This session is about how to train models on the cloud without changing a single line of code. From model development to hyperparameter sweeps, Grid automates all the engineering, so you can focus on machine learning instead of getting bogged down in infrastructure bottlenecks. In this session, William will walk you through the general workflow of research, from creating a hypothesis on a model on jupyterlab or on SSH to training a large-scale network using multiple GPUs simultaneously without having to change a single line of code. 

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Machine Learning Strategies for Kaggle vs. Industry

10:50am - 11:30am PDT (10min intermission included)

Philipp Singer

Senior Data Scientist @ H20.ai

Kaggle Grandmaster

Description coming soon

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Growing Your Professional Network

11:30am - 11:45am PDT

Mark Moyou 

Senior Data Scientist @NVIDIA

Quick coverage of the best strategies for enhancing your network in data science.

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Interactive Networking

11:45am - 12:10pm PDT

Multiple rounds of 1-on-1 networking. 

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Mock Interviews with Industry Data Scientists

12:10pm - 12:45pm PDT

Practice interviewing skills with Data Scientists from industry.

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