Neural Networks for Tabular Data

Neural networks have traditionally struggled with tabular data, often yielding better results with methods like decision trees. However, the emergence of tab PFN presents a promising approach for applying deep learning to these types of datasets. This breakthrough opens up new possibilities for leveraging deep learning in areas previously thought to be unsuitable for it.