All Knowledge Bases
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Working With ML Teams
ML teams think differently. Their timelines are uncertain. Their work is experimental. Their definition of "done" is probabilistic. This knowledge base teaches you how to collaborate effectively with ML engineers and data scientists without driving everyone insane.
8 lessons~4 hours
1. Understanding the ML Workflow
How ML Projects Actually Work
Free12 min
The ML Product Development Lifecycle
10 min
Why ML Timelines Are Inherently Uncertain
8 min
2. Effective Collaboration
Speaking the Same Language as Your ML Team
10 min
Writing Requirements for ML Features
12 min
Managing Stakeholder Expectations on AI
10 min
Model Evaluation for PMs (Without the Math)
10 min
Shipping and Monitoring ML Features
10 min
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