
Simple, readable machine learning algorithms for rapid prototyping and education.
Visit SwiftLearnerSwiftLearner is a lightweight and easily understandable machine learning library designed for education, experimentation, and rapid prototyping. Written in Scala and built upon plain Java types with minimal dependencies, it offers classic machine learning algorithms such as perceptron, backpropagation neural network, genetic algorithms, naive Bayes (Gaussian and Bernoulli), k-nearest neighbors, k-means clustering, and softmax regression. The library is ideal for students, educators, and ML enthusiasts who want to understand how algorithms work or experiment with small datasets without the complexity of optimized frameworks.
Visit SwiftLearner's official website for product details and getting started.
Community discussions and troubleshooting for common problems encountered with SwiftLearner.