Machine Learning with Google

Google Developer Group Austin
Google Developer Group Austin
Public group

500 W 2nd St

500 W 2nd St · Austin, TX

How to find us

Street parking: Should you find street parking, it'll only be a few dollars. Google parking garage: Cost is $10. The entrance to the parking garage is on San Antonio Street, and exact directions are here: https://goo.gl/maps/pp2CoPGk4poz5BpXA

Location image of event venue

Details

Strongly recommend this night of presentations from Google on Machine Learning. This event takes place at the Google office downtown.

Check out more details and also register here: https://events.withgoogle.com/machine-learning-developer-meetup/

Hear from experts working on the cutting edge of Machine Learning at Google about the newest technologies, research, and how they are using AI.

Speakers:

Irene Giannoumis - Irene is a Technical Program Manager on the Research & Machine Intelligence team at Google, where she works to bring machine learning into production pipelines through TensorFlow (TFX).

Jason Baldridge - Jason is a research scientist at Google, where he works on natural language understanding.

Rich Dutton - Rich is the Head of Machine Learning for Corporate Engineering at Google, where he leads a team of 15 engineers and data scientists across NYC and Austin.

Hallie Crosby - As a Machine Learning Specialist at Google, Hallie works closely with Google Cloud’s key customers to provide guidance on advanced machine learning use cases and technologies.

Peter Grabowski - Peter manages the Corporate Engineering Machine Learning team in Austin. Previously, he managed the Data Integration/ML team at Nest and helped build the Assistant for Kids team at Google.

Karl Weinmeister - Karl is a Developer Advocacy Manager from Google’s Developer Relations Artificial Intelligence and Machine Learning team, based in Austin, Texas.

Priscilla Moraes - Priscilla is a Machine Learning Specialist at Google. She has a Ph.D. in the area of Natural Language Processing, Machine Learning and Assistive Technology.