Pride edition: Build & deploy AI models with multiple datasets with AutoAI

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Published on ● Video Link: https://www.youtube.com/watch?v=Q8F-EjnnVr4



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

Join IBM Developer x Brightbots to learn how to build and deploy your very own AI predictive models by joining multiple datasets. IBM Cloud Pak for Data's 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.

Explore AutoAI:
https://developer.ibm.com/learningpaths/explore-autoai/?mhsrc=ibmsearch_a&mhq=autoai

https://developer.ibm.com/learningpaths/cloud-pak-for-data-learning-path/automate-model-building-with-autoai/?mhsrc=ibmsearch_a&mhq=autoai

Meetup Event: https://www.meetup.com/ibmcodenyc/events/285821470

Crowdcast event:
https://www.crowdcast.io/e/autoai
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Tags:
auto ai
data processing
cloud software
build and deploy
AI ML Multiple Datasets
AI
artificial intelligence
pride
automated model selection
engineering
ibm
developer