“Computational Learning Theory (CoLT) is a branch of computer science that uses the mathematical foundations of machine learning.”
3 Main Aspects of CoLT:
- How the learner interacts with its environment
- What is considered successful in completing a learning task
- Definition of efficiency of data usage and processing time
CoLT investigates fundamental questions like what can and cannot be learned from data, the computational resources required for learning, and how well algorithms can adapt to novel situations.
CoLT plays a pivotal role in refining algorithms, optimizing model performance, and guiding the development of new learning paradigms.