TLDR
Gustavo Santos is the head of Predictions and Market Modelling at Vortexa. He explains why data anomalies are more important than you think. Anomalies can be detected using model-free or model-based approaches. Machine Learning methods can be used to build efficient anomaly detectors. In doing so, there is a real risk of throwing away valuable insights that could lead to significant improvements in your models, products, or even business processes. At Vortexa we obtain vessel and cargo data from multiple sources in order to generate the most complete view into waterborne oil flows.via the TL;DR App
no story
Written by gustavo-santos | Head of Predictions and Market Modelling, Vortexa
