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𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 A Comprehensive Overview: 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) - - - - - Get more free stuff in a single PDF: 👊 1. Like 2. Follow 3. Comment "Send PDF" ♻ Repost this to help others Follow Dirk Zee for more