Artificial Intelligence (AI) has seen significant advancements in various models over the years. These models have played a crucial role in shaping the field of AI and have been applied in numerous domains. Let's explore some of the key AI models that have gained popularity.

Types of AI Models

  • Supervised Learning Models: These models learn from labeled data, where the input and output are known. They are widely used in classification and regression tasks.
  • Unsupervised Learning Models: These models learn from unlabeled data, identifying patterns and structures in the data without explicit guidance.
  • Reinforcement Learning Models: These models learn to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.

Popular AI Models

  • Neural Networks: A collection of neurons that can learn from data and make decisions.
  • Support Vector Machines (SVM): A powerful classifier that can be used for both classification and regression tasks.
  • Random Forest: An ensemble learning method that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees.

Further Reading

For more information on AI models, you can explore our AI Basics section.

Neural Network