The wave of artificial intelligence is sweeping the world, and many similar technology hot words such as big data and machine learning are always in our ears. Most people always seem to understand the meaning behind these high-frequency vocabulary. In comparison, big data and artificial intelligence are often heard, so what does “machine learning” mean?

"Machine learning is the core of artificial intelligence, and it is a way of human-like learning. It can be roughly divided into three types." Tsinghua University professor Ji Xiangyang introduced that the first is supervised learning and the second is unsupervised learning. The third is to strengthen learning.

In 2016, Google’s artificial intelligence “AlphaGo” and South Korea’s professional go master Li Shishi launched a “human-machine war”. Li Shishi’s defeat made people once again marvel at the powerful capabilities of artificial intelligence. With the maturity of technology, machine learning is also widely used in education, medical, image recognition, speech recognition and other fields. In the future, machine learning may touch all walks of life and change people's daily lives, which also raises widespread concerns about artificial intelligence security issues. Will artificial intelligence become the "last invention" of mankind? When machines become more and more human and can complete human work, does this mean that they will steal human food?

When artificial intelligence can complete human work, will it steal the human bowl?

Some experts believe that in some repetitive and inexperienced labor, machines can indeed replace people, because machines can acquire certain skills through big data training to complete tasks. But in industries that need to deal with people and industries that need to constantly learn new things, machines may be at a loss.

Ji Xiangyang said that machine learning may be better than humans in some functions, but humans are certainly smarter than machines in some respects. "The machine's learning ability and wisdom want to reach the level of humanity, there is still a long way to go."

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