Test Your Machine Learning Knowledge

Supervised learning is a type of machine learning where the model is trained using labeled data, while unsupervised learning is a type of machine learning where the model is trained using unlabeled data.

Overfitting in machine learning occurs when a model is trained too well on a particular dataset, to the point where it starts to fit noise in the data rather than the underlying pattern.

Gradient descent is an optimization algorithm used in machine learning to minimize the error of a model by iteratively adjusting the model's parameters in the opposite direction of the gradient of the error function.