This chapter is a supervised learning tutorial that covers classification, regression, semi-supervised learning, ensemble algorithms, overfitting, interpretability, regularization, hyperparameters, dimensionality reduction, and many other topics.
Types of Machine Learning - Supervised, Unsupervised
Frontiers An Introduction to Machine Learning Approaches for
Supervised Learning: Algorithms, Examples, and How It Works
A Gentle Introduction to Semi Supervised Learning
What is Supervised Learning? Concise Guide to Supervised Learning
Introduction to Machine Learning: Supervised, Unsupervised and
What Is Machine Learning?
Supervised Learning algorithms Supervised learning, Deep learning, Algorithm
Grokking self-supervised (representation) learning: how it works
Introduction To Supervised Machine Learning 2024
Supervised learning - Wikipedia
Learn Types of Machine Learning Algorithms with Ultimate Use Cases
Supervised Learning, Machine Learning
Supervised Learning – Everything You Need To Know