This paper presents a comparison of conventional and modern machine (deep) learning within the framework of anomaly detection in self-organizing networks. While deep learning has gained significant traction. especially in application scenarios where large volumes of data can be collected and processed. conventional methods may yet offer strong statistical alternatives. https://www.remtavares.com/