Machine Learning, Data Science, Artificial Intelligence, Programming, Towards Data Science.
due to the high capacity. And what is also important, many train labels may be wrong. This is fine. As long as a percent of the incorrect labels is less than 15%, you are fine. More data you use, better your model is. Participants may not be experts in forensics, but the fact that more data is