We hosted a special edition of the TensorFlow London Meetup in collaboration with Digital Leadership Forum.
Talk 1: TensorFlow 2.x – Applied Machine Learning at Scale
Speaker: Paige Bailey, Product Manager at Google Research
Bio: Prior to Google, she was developer advocate for TensorFlow core; a senior software engineer and machine learning engineer in the office of the Microsoft Azure CTO; and a data scientist at Chevron.
Paige has over a decade of experience using Python for data analysis, five years of experience doing machine learning.
Talk 2: MLOps and ML MetaData – Why ML projects need both?
Speaker: Hannes Hapke, Senior Machine Learning Engineer at SAP Concur.
Abstract: In this presentation, Hannes is introducing the core concepts of MLOps, introduces TFX, and highlights why every ML pipeline needs ML Metadata. In the talk, he will provide a deep dive into metadata, how it is generated, stored, and how it can improve your ML projects and the return on investment.
Bio: Hannes is a Senior Machine Learning Engineer at SAP Concur where he focuses on ML Infrastructure and Natural Language Processing projects. Hannes is a Google Developer Expert for Machine Learning and a co-author of machine learning publications like NLP in Action and the O’Reilly publication on Building Machine Learning Pipelines with TensorFlow.