What are the types of machine learning algorithms?

Overview of the different types of machine learning algorithms such as supervised, unsupervised, and reinforcement learning.

1 Answer

Some type of machine learning algorithm are mention below :

1. Supervised Learning In this type, the algorithm is trained on labeled data, meaning the input comes with the correct output. The goal is to learn a mapping from input to output. Examples:

  • Linear Regression (for prediction)
  • Logistic Regression (for classification)
  • Decision Trees
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Random Forest
  • Neural Networks

2. Unsupervised Learning The algorithm is trained on unlabeled data, and it tries to find patterns or groupings in the data.

Examples:

  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Component Analysis (PCA)
  • Autoencoders

3. Reinforcement Learning The algorithm learns by interacting with an environment, receiving rewards or penalties for actions, and learning to make better decisions over time. Examples:

  • Q-Learning
  • Deep Q-Networks (DQN)
  • Policy Gradient Methods
  • Proximal Policy Optimization (PPO)

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