Set up a supervised learning project, then develop and train your first prediction function using gradient descent in Java.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

The aging process often leads to a decline in physical function, emphasizing the importance of maintaining physical activity, mainly through exercise. However, a significant portion of the elderly ...

Based on experimental data, a machine learning model for predicting the occurrence of chip bifurcation for a given cutting condition was developed using a random forest algorithm, and the model ...

This is the repository for D-Lab’s Introduction to Machine Learning in R workshop. View the associated slides here. The seven algorithm R Markdown files (lasso, decision tree, random forest, xgboost, ...

An Artificial Neural Network, or multi-layer perceptron, are machine learning algorithms inspired by the structure and function of the human brain. Artificial neural networks get their name from the ...

When exploring the realm of Machine Learning, it’s always nice to have some real and interesting data to work with. That’s where the bats come in – they’re fascinating anima… ...