Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

Machine learning is already used by many businesses to enhance the customer experience. Just a couple of examples include ... super-human accuracy for image classification, object detection ...

Perceptron classification is arguably the most rudimentary machine learning (ML) technique. The perceptron technique can be used for binary classification, for example predicting if a person is male ...

Supervised learning is useful in classification ... important area of machine learning as it relates to search, especially as things expand. Google Translate is another good example.

The result is a machine learning framework that is easier to work with—for example, by using the relatively simple Keras API for model training—and more performant. Distributed training is ...