Episode 27 - Neural Networks

In Episode 27 of '100 Days of Data,' Jonas and Amy decode the fascinating world of neural networks — AI models inspired by the structure of the human brain. Listeners will learn how artificial neurons, layers, and weights work together to recognize complex patterns in data, enabling everything from facial recognition to fraud detection. The hosts explore key neural network types like CNNs for image analysis and RNNs for sequence data, while also addressing challenges like data requirements and interpretability. Real-world examples illustrate how businesses can benefit through practical strategies like transfer learning. If you've ever wondered how AI “thinks,” this episode offers a clear, approachable introduction to one of AI’s most powerful tools.