Artificial Intelligence, Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning.
other hand, when labeled data is scarce, unsupervised learning techniques become more relevant. Reinforcement learning, with its focus on interaction and feedback, thrives in environments where training data can be generated through simulated or real-world interactions. A data project, no matter