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Machine Learning & Human Learning

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Why does the person with highest IQ not become the most successful one?

I heard about the “Study of Mathematically Precocious Youth After 35 Years” years ago, but after studying machine learning, especially the generalization problem, I guess I have glanced some possible reasons.

While a human is learning, the process is more or less like the machine learning. The talent, the IQ testing result, can somehow prove the human has a more complex brain, just like the neural networks have more complex architectures. Unfortunately, overfitting often occurs when a model with more complex architecture learning. When a model stuck at overfitting, the training error will go down steadily while the validation error will become larger. This problem is called generalization problem. In the context of machine learning, we have several tricks to partially solve it. Here is a list of methods and their analogies of human learning.