Machine Learning Operations

Introduksjon

This course teaches you how to develop scalable, maintainable, and efficient machine learning algorithms using object-oriented programming in Python. Specifically, it focuses on data engineering, model development, model registry, deployment, and monitoring. From a business perspective, the course covers the process of transitioning models from the experimental stage to production environments, with a focus on the entire lifecycle of the model.

Kursets innhold

• Basic object oriented programming concepts, e.g., classes, constructors and methods
• Further topics in object-oriented programming, such as inheritance, overriding and polymorphism
• Version control with Git and GitHub
• Data engineering and data curation and preprocessing
• Model lifecycle:
  • development 
  • training
  • registry
  • deployment
  • monitoring

Forbehold

Dette er et utdrag fra den komplette kursbeskrivelsen for kurset. Dersom du er aktiv student på BI, kan du finne de komplette kursbeskrivelsene med informasjon om bl.a. læringsmål, læreprosess, pensum og eksamen på portal.bi.no. Vi tar forbehold om endringer i denne beskrivelsen.