In this episode we go beyond classical machine learning into the fascinating world of neural networks. We discuss how neural networks, inspired by the human brain, revolutionize our ability to process unstructured data like images and text. Using a detailed example of handwriting digit recognition, we break down how neural networks learn patterns, make predictions, and transform raw data into valuable insights. Tune in to explore the magic of hidden layers, the significance of activation functions, and the trade-offs between model power and interpretability in modern AI systems.