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7. Testing Random Code
10m
Testing approaches are presented for randomized code, such as statistical or data processing software, machine learning, games, and much more. Additionally, best practices for randomized research software are listed.
Learning Goals:
1. Form a systemic image of randomness in your code
2. Learn to test for properties of randomness