Learn about types of machine learning ... next operation. Classification is when the output variable is categorical, with two or more classes that the model can identify; for example, true or ...

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 ...

We hear about applications of machine learning on a daily basis, although not all of them are unalloyed successes. Self-driving cars are a good example, where tasks range from simple and ...

Using machine learning, of course ... Let’s practice with a simple text classification model straight from the Ludwig examples. We are going to use a labeled dataset of BBC articles organized ...

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 ...

Here, we look at 10 examples of how deep learning is used in practice that will help you visualize the potential. Both machine and ... human accuracy for image classification, object detection ...

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, ...