Join this meetup and network with Machine Learning developers from around the world. During the meetup, we'll discuss the latest features, learn from Google’s experts, share experiences and interests, and find opportunities to collaborate with other ML developers.

Lighting Talk #1

• Title: NLP with Tensorflow & Transformers
• Speaker: Merve Noyan (ML GDE)
• Brief: First I’ll talk about state of the art models in NLP (T5, BERT) and then how to build an NLP product with BERT from TF Hub & TF Hub preprocessors with few lines of code. (very shortly)

Lighting Talk #2

• Title: Community Ecosystem of TFLite
• Speaker: Sayak Paul (ML GDE)
• Brief: This talk will present a few collaborative efforts from the TensorFlow Lite community. There will be project showcases, commentaries on tiny but powerful models, and most importantly a section on what can be achieved where the force of collaboration is strong.

Lighting Talk #3

• Title: Elegy: Research at Scale: TFRC and Cloud TPUs
• Speaker: M. Yusuf Sarıgöz (ML GDE)
• Brief: Today's ML research relies havvily on high compute power, but this may not always be accessible to individual researchers or to small teams. TFRC aims at democratizing and fostering research around the globe with free access to Cloud TPUs. This talk will talk about the following: TFRC program, its scope, goals and how to apply for it./ TPU architecture, how it is so fast. / How to modify regular GPU code for TPU support, short tips and tricks./ How to share your results and next steps.

Lighting Talk #4

• Title: Machine Learning at Scale with BigQuery ML

• Speaker: Polong Lin (Google Developer Relations Engineer)
• Brief: Google Developer Advocate Polong Lin will show how to train a churn prediction model with BigQuery ML to reduce mobile user churn based on Google Analytics 4 data in BigQuery.

Lighting Talk #5

• Title: A new ML feature coming out at I/O

• Speaker: Marc Cohen (Google Developer Relations Engineer)
• Brief: Google Developer Advocate Marc Cohen will be on hand to share some information about an exciting new ML feature.