Generative Adversarial Networks (GANs) Explained: From DL Basics to Real-World Training Tips
This episode breaks down how GANs work by starting with deep learning basics like CNNs, gradient descent, and regularization. We then get into what actually goes wrong when training these models and h...
10 Juni 202527min
Bayesian vs. Frequentist Thinking in Marketing Mix Modeling
In this episode, we unpack how Bayesian and Frequentist statistical approaches tackle marketing performance analysis, focusing on Marketing Mix Modeling (MMM). You’ll learn the key differences in inte...
27 Maj 202522min
