Artificial Intelligence Explained

A Comprehensive Overview:

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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)

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Source: LinkedIn

Credits: Mr. Alok Sharma