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An online course covering the machine learning workflow, common challenges, model development and evaluation, deployment, and pipeline design. It is intended for learners studying the implementation and design of machine learning operations.
Syllabus
- 01- Intro to Machine Learning
- 02- Machine Learning Workflow
- 03- Common Challenges in Machine Learning
- 04- Data Drift, Scale and Multiple Objectives
- 05- Model Development
- 06- Model Performance Evaluation
- 07- Model Deployment
- 08- Pipeline