计算学习理论中的一个关键见解是,学习问题的复杂性由假设空间的复杂性和可用数据的数量决定。
"A key insight in computational learning theory is that the complexity of a learning problem is determined by the complexity of the hypothesis space and the amount of data available."
We are all the sum of our memories.
The moment you stop learning is the moment you start failing.