Artificial Intelligence Explained

"Artificial Intelligence:

• Automated Programming

• Knowledge Representation

• Expert Systems

• Planning and Scheduling

• Speech Recognition

• Intelligent Robotics

• Visual Perception

• Natural Language Processing (NLP)

• Problem Solving & Search Strategies

Machine Learning:

• K-Means Clustering

• Principal Component Analysis (PCA)

• Automatic Reasoning

• Random Forest

• Decision Trees

• Ensemble Methods

• Naive Bayes

• Classification

• Anomaly Detection

• Reinforcement Learning

Neural Networks:

• Radial Basis Function Networks

• Recurrent Neural Networks (RNN)

• Autoencoders

• Hopfield Networks

• Modular Neural Networks

• Adaptive Resonance Theory (ART)

Deep Learning:

• Convolutional Neural Networks (CNN)

• Long Short-Term Memory Networks (LSTM)

• Deep Reinforcement Learning

• Generative Adversarial Networks (GAN)

• Deep Belief Networks (DBN)"

Author

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