The difference between machine learning and teacher teaching

The difference is that in the past, the teaching subjects were teachers and students, while machine learning was intelligent machine-assisted learning.

The most basic way of machine learning is to analyze data with algorithms, learn from them, and then make decisions and predictions about events in the real world.

Different from traditional hard-coded software programs to solve specific tasks, machine learning is "training" with a large amount of data, and learning how to complete tasks from data through various algorithms.

Artificial intelligence can help people to produce a brand-new teaching mode suitable for students in the information age, instead of automating the old teaching mode.