Machine Learning, Data Science, Data Modeling.
in the code, wrong hyperparameters, or a lack of predictive power of the model. But how can we ensure that the model does not fail silently? Well, we cannot. But we can reduce the probability. First, we must be aware that the ML development process is different from traditional software