Meta learning

What is Meta Learning? Techniques, Benefits & Examples [2024]

The performance of a learning model depends on its training dataset, the algorithm, and the parameters of the algorithm. Many experiments are required to find the best-performing algorithm and parameters of the algorithm. Meta-learning approaches help find these and optimize the number of experiments. This results in better predictions in a shorter time.