Types Of ML Algorithms

Created: 2023-01-10 10:32
#note

There are three main categories of algorithms (but we can combine them):

• Supervised learning: it consists in inferring a function from labelled training data. Tasks: classification, regression, ranking. Models: SVM, regression, naive Bayes, decision trees, KNN;
• Unsupervised learning: used to find patterns is data, we do not have label to predict. Tasks: Clustering, anomaly detection,
• Reinforcement learning: it does not need labelled data, but it focuses in finding a balance between exploration and exploitation of an agent in an environment in order to maximize a cumulative reward.

References

1. ml questions
2. RL

Tags

#ml #supervised #unsupervised #reinforcementlearning