Intro to Machine Learning for PMs
- Machine Learning for Product Managers Part I — Problem Mapping
This comprehensive 3-part article series covers: 1) Problem Mapping: What types of problems are best suited for machine learning 2) ML Skills: What additional skills does a PM need to build products that leverage machine learning? 3) Caveats: What are the common mistakes made in building products that use machine learning
How PMs Help Execute ML Projects
- Machine Learning from a Product Perspective
Inga uses case studies from Squarespace and Automatic to show what problems are good for ML, how PMs help execute ML projects, and how to augment the standard product development lifecycle to build ML products.
- No Machine Learning in Your Product? Start Here
Clemens covers the three different levels where ML can integrate with your product - making features better, making a new feature possible, or making a new product itself possible. He also covers an overview of tools in the ML toolbox - recommendation systems, event prediction, classification, generative models, and clustering. He wraps up with a case study on how ML is used in Google Forms.