Feature Engineering Insights

Diogo discusses the exponential growth of features in machine learning, highlighting the complexities of handling both numerical and categorical data. He shares his process of converting data types and employing feature selection algorithms, which ultimately led to the creation of around 50,000 features. The conversation also touches on misconceptions about deep learning and the broader applicability of these techniques to various problems, including biology.