Types Of Machine Learning
Supervised Learning
Supervised machine learning uses labeled data to train models, enabling them to predict outcomes or classify inputs based on examples.
Unsupervised Learning
Unsupervised machine learning finds hidden patterns or groupings in data without labeled outputs, enabling insights and data structure discovery.
Reinforcement Learning
Reinforcement learning teaches agents to make decisions by rewarding desired actions, improving behavior through trial-and-error interaction with environments.
Transfer Learning
Transfer learning is using a pretrained model on new tasks, saving training time and improving performance with limited data.