Mar 15–18, 2020
Hannes Hapke

Hannes Hapke
Creator, Wunderbar.ai

Website | @hanneshapke

Hannes Hapke is the VP of Engineering and AI at Caravel, a conversational AI start-up for digital retail. He has been a Machine Learning enthusiast for many years and is a Google Developer Expert for Machine Learning. Hannes has applied deep learning to a variety of computer vision and natural language problems, but his main interest is in Machine Learning Infrastructure and automating Model Workflows. Hannes is a coauthor of the deep learning publication Natural Language Processing in Action and he is currently working on the O’Reilly book about TensorFlow Extended “Building Machine Learning Pipelines”. When he isn’t working on a deep learning project, you’ll find him outdoors running, hiking, or enjoying a good cup of coffee with a great book.

Sessions

9:00am12:30pm Monday, March 16, 2020
Location: 210 F
Catherine Nelson (Concur Labs, SAP Concur), Hannes Hapke (Wunderbar.ai)
Most deep learning models don’t get analyzed, validated, and deployed. Catherine Nelson and Hannes Hapke explain the necessary steps to release machine learning models for real-world applications. You'll view an example project using the TensorFlow ecosystem, focusing on how to analyze models and deploy them efficiently. Read more.
11:00am11:40am Tuesday, March 17, 2020
Location: 210 C/G
Hannes Hapke (Wunderbar.ai), Catherine Nelson (Concur Labs, SAP Concur)
Measuring the machine learning model’s performance is key for every successful data science project. Therefore, model feedback loops are essential to capture feedback from users and to expand your model’s training dataset. This talk will introduce the concept of model feedback to you and guide you through a framework for increasing the ROI of your data science project. Read more.

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