End to End Machine Learning with PySpark and TensorFlow using Hopsworks on GCP

Description: End to End Machine Learning with PySpark and TensorFlow using Hopsworks on GCP

1. Overview of Hops Project
2. Distributed training using TensorFlow and PySpark on multiple GPUs
3. Hyperparameter search (Distributed hyperparameter optimization for TensorFlow using PySpark on many GPUs)
4. Model serving using Google AI Platform serving

Speaker Bio: Jim Dowling is the CEO of Logical Clocks AB, as well as an Associate Professor at KTH Royal Institute of Technology. He is the lead architect of Hopsworks, a data-intensive platform for AI built on HopsFS, a next-generation HDFS compatible filesystem and winner of the IEEE Scale prize in 2017. His research concentrates on building systems support for machine learning at scale. He is a regular speaker at Big Data and AI industry conferences.

Agenda
5:45 - 6:30 PM Networking/Social/Food
6:30 - 6:35 PM Introduction
6:35 - 7:30 PM Talk and Q&A
7:30 - 8:00 PM Networking/Social/Closing