ML for Product Managers: 1-Hour Weekly Primer
A concise course equipping product managers with the essential ML knowledge to drive product innovation and collaboration with data science teams.
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Understanding ML Fundamentals for Product Managers
Unit 1: Core ML Concepts
What is Machine Learning?
Supervised Learning
Unsupervised Learning
Regression Explained
Classification Explained
Unit 2: ML Opportunities & Communication
Finding ML Opportunities
Talking ML with Data Sci
Model Selection
Model Limitations
Ethics and ML
ML Product Development Lifecycle and Practical Application
Unit 1: ML Product Development Lifecycle
ML Product Lifecycle
Data Acquisition 101
Model Deployment Options
Monitoring ML Models
Unit 2: Algorithm Selection and Evaluation
Algorithm Trade-offs
Accuracy vs. Interpretability
Key Model Metrics
A/B Testing ML Models
Unit 3: Bias Mitigation and Ethical Considerations
Identifying Bias
Mitigating Bias