Event
Speakers
Assoz. Prof. Dr. Johannes Schneider
Jonas Bokstaller, MSc ETH Inf.-Ing.
Date
05.12.2024 18:00 - 20:00
Content
Machine Learning Operations (ML Ops) is an important discipline that bridges the gap between the development of Machine Learning (ML) models and their deployment in real-world applications. We will have an in-depth look at the different components of a fully functioning ML pipeline, from data ingestion, preprocessing to model training, validation, deployment, and monitoring. We will explore how we can ensure consistent performance while re-training the model with new data on a regular basis. The session will also highlight the role of hyperscalers such as Amazon AWS and Microsoft Azure and how we can use their services to do ML Ops in the cloud. Finally, methods to expose ML models as APIs are shown. This enables us to seamlessly integrate with the front end to ensure the ML model is used properly and can scale when demand is high.
Program:
18:00 - 18:05 Short Introduction
18:05 - 18:45 Talk with Jonas Bokstaller
18:45 - 19:00 Q&A
19:00 Apero
Information Contact
Assoz. Prof. Dr. Johannes Schneider
Costs
Die Teilnahme an dieser Veranstaltung ist kostenfrei.
Es stehen maximal 15 Plätze zur Verfügung.
Deadline
Dec 03, 2024
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Details on Right of Withdrawal/Cancellation and Dropout as well as Substitute Participants are regulated in the General Terms and Conditions.