7 AI terms you must know in 2020~

6 min readMar 6, 2020

Just like the PC revolution, AI will become an integral part of every profession.A 2018 report by Forbes stated that to keep their jobs by 2025, 54% of employees in large companies need to improve their skills. Last year, the average salary of a machine learning engineer in the United States was $ 143,000.

The CEO of GoogleSunder Pichai wrote in a blog post, “For the past 10 years, we have been working to build a mobile-first world that turns mobile phones into remote controls for our lives Devices, but in the next 10 years, we will move to an AI-first world. “

There are many speculations about the PC revolution. When it arrived, many people opposed it, but it came quickly and changed the way we work. Computers are now an integral part of the workplace in every organization and industry. The impact of the AI ​​revolution will be faster and more violent.

To succeed in an “artificial intelligence first” world, you must understand the language it speaks. Here are 7 terms often used in the field of artificial intelligence:

1、Deep learning

Deep learning is produced by deep neural networks, which are made up of neuron layers. A deep neural network is a neural network with thousands of layers.

Whenever we talk about deep learning, we must talk about neural networks. Each layer of the neural network learns gradually complex functions, that is, the previous layer learns simple features, such as lines and edges, the next layer may learn simple shapes, such as squares, circles, triangles, etc., and the next layer may learn Patterns and textures, etc.

2、 Supervised learning

A large amount of data is input into the computer. Through the labeled training data, the computer can observe a new data point and immediately predict what its label is once it is trained to recognize the label. The most common algorithms that fall into this category are linear regression…




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