Machine learning (Supervised, Unsupervised, Reinforcement)
Deep learning (Neural networks, GANs)
Natural language processing (NLP)
Computer Vision (Object detection, Image recognition)
Reinforcement learning (Decision-making systems)
Algorithm development and optimization
Feature engineering and data processing
AI ethics and bias mitigation