Lectures related to Exploration Bias

Related lectures (32)

Explores smart weight initialization in neural networks, emphasizing the importance of proper data normalization and random weight initialization.

Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.