For example, they chose "T-shirt," as the positive class and one other item, e.g., "sandal," as the negative class. Then they attached a confidence score to the "T-shirt" photos.

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Naive Bayes classification is a classical machine learning technique to predict a discrete value. For example, you might want to predict the sex of a person (female or male) based on their job type, ...

Deep learning, a subset of machine learning represents the next stage of development for AI. By using artificial neural networks that act very much like a human brain, machines can take data in ...