https://youtu.be/etmUU1bs41s

Together with our friends at Shape we're hosting a talk on Machine Learning with Tensorflow and Google Cloud followed by food and drinks as Google introduces the new Pixel. Google made a splash when they launched the first Pixel, and we are very excited to see what they have in store for us this year. We have a feeling that Machine Learning again will have a big presence. So swing by for some food, soda and beer as well as a passionate crowd to watch the unveiling with.

Agenda:
16:45: Doors open
17:00: TALK: Machine Learning with Tensorflow and Google Cloud (by Vijay Reddy)
18:00: Google Pixel Event - Livestream
xx:xx: Hang around for discussion about the new hardware from Google and a soda/beer after the livestream finishes

Food will be served before the livestream.

Registration: https://www.facebook.com/events/1948785272032205

Please signup on the Facebook event or otherwise indicate on your meetup event registration that you did not register on Facebook.

Talk Title: Machine Learning with Tensorflow and Google Cloud

Abstract: What is Tensorflow, why is it so popular, and how can you leverage it to build Machine Learning applications? We will walk through an end-to-end example including data ingestion, training, and prediction on a real dataset. All while using the Google Cloud Platform to supercharge our training and prediction as well as remove pain from the development and operational workflows.
Speaker Bio:Vijay Reddy is a Machine Learning Specialist on the Google Cloud Customer Engineering team. His mission is to democratize machine learning and help companies realize the power of Machine Learning via Google Cloud. Prior to joining Google he worked at a startup using machine learning to detect bank fraud and prior to that studied computer science at Carnegie Mellon.

Speaker Bio: Vijay Reddy is a Machine Learning Specialist on the Google Cloud Customer Engineering team. His mission is to democratize machine learning and help companies realize the power of Machine Learning via Google Cloud. Prior to joining Google he worked at a startup using machine learning to detect bank fraud and prior to that studied computer science at Carnegie Mellon.