Jun
15
10:30pm
Deep Learning Hands-On Series - Monitoring
By IBM Developer
Deep Learning Hands-On Series - Monitoring
Once you've gone to production, making sure everything is working the way you think it is important. For this, we will be using my framework - drifter-ml to test our models once in production. We will make use of CI/CD the way we did in a prior tutorial to make sure everything is working correctly.
What you will learn
During this tutorial we will go through:
- a review of CI/CD
- an introduction to drifter-ml
- working with a (fake) production system
Who should attend
This workshop is for folks with a background in statistics and machine learning. We will be walking through how to test a production system.
Prerequisite
Some knowledge of
- Python
- Statistics
- Machine Learning
Speaker
Eric Schles is a senior data scientist with 6 years of full time experience. During his time in industry he has worked in the anti human trafficking, cancer research, government and big tech spaces. During his time at Microsoft he worked as a consulting engineer building production systems for fortune 500 and 100 clients all over the world. During his time in government he worked for the Federal Reserve in San Francisco, the White House and the General Services administration, bringing data science into the procurement process, health systems, human resource systems and in various inter agency consulting capacities. In addition, he worked on strategic cross federal initiatives such as the white house data council and various internal research goals to bring data science to federal agencies as well as assess readiness of agencies for data science.
Host
Upkar Lidder, IBM Data Science and AI Developer Advocate, https://www.linkedin.com/in/lidderupk/
hosted by
IBM Developer
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