Machine Learning

How Can You Handle Imbalanced Datasets in Machine Learning?

Bynajib

In the world of Machine Learning, Artificial Intelligence, Data Mining, and Predictive Analytics, dealing with imbalanced datasets is a big challenge. These datasets happen when one class has much more data than the others. This leads to biased models and wrong predictions. Examples include fraud detection and disease diagnosis. Handling imbalanced data is key to…

vanishing gradient

What is the vanishing gradient problem in deep learning, and how can it be addressed?

Bynajib

The vanishing gradient problem is a big challenge in deep learning. It happens when gradients, which are important for learning, get very small. This makes it hard for the model to learn and understand complex things. This problem is often caused by certain activation functions and the network’s depth. As gradients move back through layers,…