Event
Referenten
Assoz. Prof. Dr. Johannes Schneider
Jonas Bokstaller, MSc ETH Inf.-Ing.
Termin
05.12.2024 18:00 - 20:00
Inhalt
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 Introduction by Johannes Schneider
18:05 - 18:45 Talk by Jonas Bokstaller
18:45 - 19:00 Q&A
19:00 Apero
Information
Assoz. Prof. Dr. Johannes Schneider
Preis
Die Teilnahme an dieser Veranstaltung ist kostenfrei.
Es stehen maximal 15 Plätze zur Verfügung.
Anmeldeschluss
03.12.2024
Es gelten die Allgemeinen Geschäftsbedingungen, welche durch eine Anmeldung verbindlich vereinbart werden.
In den AGB sind u.a. Details zu Rücktrittsrecht/Stornierung und Abbruch sowie Ersatzteilnehmende geregelt.