Dev Day: Building Modern Machine Learning Applications
September 01, 2020 | 12:00 PM AEST (Australian Eastern Standard Time)
Whether you are building a startup or adding to a data-intensive application, taking advantage of a cloud data platform and machine learning technologies is key to innovating and gaining a competitive advantage.
Snowflake and AWS (Amazon SageMaker) are bringing you a series of DevDay events to show how to build data-intensive applications with ML.
These events will show how to use Snowflake Cloud Data Platform to build data pipelines. You will learn how to leverage Amazon SageMaker to bring predictive power to your business; analyze data at a deeper level; and develop, test, and deploy ML models at scale. Our instructors will help you follow along using your Snowflake and AWS accounts and answer your questions live.
You'll have the opportunity to:
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Ingest data for analytics powered by Snowflake
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Launch a SageMaker Notebook instance with the Snowflake Python connector pre-installed
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Build a connection to your Snowflake instance to pull data into a Pandas Data Frame
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Train a machine learning model using Amazon SageMaker
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Learn how to persist predictions in Snowflake for easy evaluation and analytics
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Join the on-demand Q&A with your Snowflake and Amazon peers
Speaker and Presenter Information
DYLAN TONG
AI/ML Partner Solutions Architect, AWS
ANDRIES ENGELBRECHT
Partner Solution Architect, Snowflake
Relevant Government Agencies
Federal Government, State & Local Government
Event Type
Virtual
This event has no exhibitor/sponsor opportunities
When
Tue, Sep 1, 2020, 12:00pm
Cost
Complimentary: $ 0.00
Where
Virtual Event AU
Website
Click here to visit event website
Organizer
Snowflake
AWS