Struggling with data imbalance? Semi-supervised & Self-supervised learning help!

Struggling with data imbalance? Semi-supervised & Self-supervised learning help!

Struggling with data imbalance? Semi-supervised & Self-supervised learning help!

“The problem of data imbalance is very common in the real world. For real data, the amount of data of different categories will generally not be an ideal uniform distribution, but will often be imbalanced; if you sort the classes according to the number of samples from high to low, you will find that the data distribution has a “long tail”, which is what we call the long-tailed effect…”

Source: towardsdatascience.com/struggling-with-data-imbalance-semi-supervised-self-supervised-learning-help-4de8b8f23490

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