Data Science and Machine Learning

We are dealing with sparse data, and then we're dealing with highly, highly disferent data. Weha, we have a programme of trying to aggregate all these different data sources,. And then and then do two different things on it. From one side, we have our basic science approach, which is, sort of, how these or bodies formed, cobalt, or any other material we might be looking for. And then, and then you have the really exciting thing, which is the data, rather than us asking the data questions, the data tells us stuff, right? So in this thing, this is where your machine learning or stistical association modelling becomes important, right?