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Challenges in ML Engineering

Offered By: Finnish Center for Artificial Intelligence FCAI via YouTube

Tags

Machine Learning Courses Artificial Intelligence Courses MLOps Courses Anomaly Detection Courses Software Engineering Courses

Course Description

Overview

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Explore the evolving landscape of machine learning engineering in this 52-minute talk by Dr. Jukka K. Nurminen from the Finnish Center for Artificial Intelligence FCAI. Delve into the shift from developing smarter models to implementing AI in real-world scenarios. Discover key challenges in MLOps, including cost-efficient inference, automation of ML practices, accuracy monitoring, and anomaly detection. Gain insights from Dr. Nurminen's extensive experience in software research across telecom, academia, and applied research. Learn about the transition towards a more systematic and industrial approach to developing, testing, monitoring, and maintaining ML systems. Understand the importance of addressing these challenges as AI continues to mature and find practical applications in various industries.

Syllabus

Jukka Nurminen: Challenges in ML Engineering


Taught by

Finnish Center for Artificial Intelligence FCAI

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