Intro to ML Monitoring: Classification Models using scikit-learn + WhyLabs
Links to follow along and ask questions:
Notebook: https://bit.ly/whylabs-sklearn-class
Free WhyLabs Signup: https://whylabs.ai/free
whylogs github (give us a star!) https://github.com/whylabs/whylogs/
Join The AI Slack group: https://bit.ly/r2ai-slack
Request a certificate of completion: https://s.whylabs.io/scikit-classific...
Join this hands-on workshop to learn ML monitoring for classification models in production with scikit-learn and WhyLabs.
If you want to build reliable machine learning pipelines, trustworthy data, and responsible ML models, you’ll need to monitor your models and data.
In this workshop, we’ll cover how to use ML monitoring techniques to implement your own AI observability solution for machine learning classification applications.
Once completed you'll also receive a certificate!
This workshop will cover:
Working with tabular data from a CSV
Training a classification machine learning model with scikit-learn
Detecting data quality issues
Detecting data drift
Logging machine learning model predictions
Monitoring ML model performance
What you’ll need:
A modern web browser
A Google account (Colab is a tool made by Google)
Sign up free a free WhyLabs account (https://whylabs.ai/free)
Who should attend:
Anyone interested in AI Observability, Model monitoring, MLOps, and DataOps! This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python will be useful, but it's not required.
By the end of this workshop, you’ll be able to implement data and AI observability into your own pipelines (Kafka, Airflow, Flyte, etc) and ML applications to catch deviations in data or ML model behavior.
About the instructor:
Sage Elliott enjoys breaking down the barrier to AI observability, talking to amazing people in the Robust & Responsible AI community, and teaching workshops on machine learning. Sage has worked in hardware and software engineering roles at various startups for over a decade.
Connect with Sage on LinkedIn: / sageelliott
About WhyLabs:
WhyLabs.ai is an AI observability platform that prevents data & model performance degradation by allowing you to monitor your data and machine learning models in production.
Do you want to connect with the team, learn about WhyLabs, or get support? Join the WhyLabs + Robust & Responsible AI community Slack: http://join.slack.whylabs.ai/