*Fundamentals of Artificial Intelligence, Machine Learning, Neural Networks & Deep Learning*
*Artificial Intelligence:*
– Code Generation
– Image Generation
– Semantic Network
– Rule-based Systems
– Autonomous Robotics
– Work Flow automation
– Heuristic Search
– Text Processing
*Machine Learning:*
– Partitioning Methods
– Feature Extraction
– Deductive reasoning
– Classification trees
– Instance based learning
– Probabilistic classifiers
– Kernel Machines
– Boosting
– Q-learning
– Deep Networks
*Neural Networks:*
– Convolutional Neural Networks
– Sequential Networks
– Kernel Based Networks
– Kohonen Networks
– Memory Networks
– Adversarial Networks
– Auto Associators
– Single Layer Networks
*Deep Learning:*
– Deep Q-Networks
– Probabilistic Generative Models
– Self Attention Models
– Convolutional Neural Networks
– Memory Networks
– Pretext Learning