DRIVES - Artificial Intelligence
U1 - Introduction to Artificial Intelligence
U2 - Machine Learning
- E1 - Machine Learning Overview
- E2 - Algorithms of Machine Learning: Supervised, Unsupervised, Semisupervised, and Reinforcement Learning
- E3 - Recommendation Systems
U3 - Deep Learning and Neural Networks
- E1 - The Human Brain and Its Computationally Modelling
- E2 - Disclosure of the Learning Problems
- E3 - Fundamental Concepts and Termilogies of Deep Neural Networks
- E4 - Neural Networks Topology
- E5 - Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
- E6 - Advanced Architectures
- E7 - Deep Learning Applications and Real-Life Examples
- E8 - The Future Trends In Artificial Intelligence: Machine Intelligence and the Hierarchical Temporal Memory (HTM)
- U3 - Questions