Machine Learning, Artificial Intelligence, Programming, Data Science, Technology.
your way out of bad data will only lead to your venture intimately embracing failure. Goes w/o saying, that having a lot of high-quality data makes ML and DL feasible, but that doesn’t always mean we need to use them. You might find that the ROI is not worth it. That’s where you need to have a