Blog: Learn Machine Learning from a Google AI Engineer
AutoML Tables Demo: Predicting the Waiting Time at the Airport - Google Cloud Summit 2019
I joined the keynote session at the Google Cloud Summit 2019,
where I presented AutoML Tables, for 3000+ in Amsterdam.
In this demo, I showcase how developers can create custom
machine learning models, based on structured historial data in BigQuery.
“Predicting the Waiting Time at the Airport”.
I joined the keynote session at the Google Cloud Summit 2019,
where I presented AutoML Tables, for 3000+ in Amsterdam.
In this demo, I showcase how developers can create custom
machine learning models, based on structured historial data in BigQuery.
“Predicting the Waiting Time at the Airport”.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
