[Pride Edition] Build & Deploy AI/ML Models with Multiple Datasets with AutoAI

This is a hybrid event. The event will be in-person at the IBM office at Astor Place in NYC as well as livestreamed to IBM Developer.

Livestream: https://www.crowdcast.io/e/autoai

Come learn how to build and deploy your very own AI predictive models by joining multiple datasets. IBM Watson Studio AutoAI automatically analyzes your data and generates customized predictive model pipelines. Using AutoAI, you can build and deploy a machine learning model with sophisticated training features and no coding!

This talk will cover: 

• The Basics of Auto AI
• Learn about Data Pre-Processing and Automated Model Selection
• Learn about Automated Feature Engineering and Hyperparameter Optimization

Speaker:

Jenna Ritten (@jritten) is a Cloud Software Engineer turned Lead Developer Advocate and Architect for IBM Cloud. She works on expanding the reach of open source technologies to global developer communities. Her areas of interest include hackathons, design-thinking workshops, NLU/NLP, gamified learning, Blockchain, and Serverless. Jenna is an advocate for non-traditional people in tech, much like herself, and provides support by building and fostering communities for underrepresented people in tech.