The oldest and strongest emotion of mankind is fear, and the oldest and the strongest kind of fear is the fear of unknown.
In order to solve this fear, human can only explore the relationship between input and output from the limited examples.
Then they can predict a situation that has never been seen before.
This is what learning is.
Learning: Exploring the pattern between input and output from limited examples.
So, the dataset is so important. Not only it needs to be large but also it is supposed to be precise.
This is why children have always been curious because they want to get all the examples to explore the world.
But until high school, the learning method we are exposed to is actually Transfer Learning.
It is the precedure that transfering the knowledge of the other people (e.g., teachers, parents) to your own brain.
But in this process, we have made too many mistakes.
Because Transfer Learning is killing the desire of human nature to learn.
At the same time, many people think this is what learning looks like.
They think Machine Learning is to put some patterns into the machine by programming.
In fact, machine learning is to let the machine learn to discover some patterns.
And the pattern found is called knowledge.
Actually, it is why Deep Learning is so important in Machine Learning and human learning methods.
Next blog we will explore what deep learning is and why human learning should act like deep learning.
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