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What this article shares with you is about what artificial intelligence, machine learning and deep learning are. The editor thinks it is very practical, so I share it with you. I hope you can learn something after reading this article. Let's take a look at it with the editor.

I. artificial intelligence

Artificial intelligence (Artificial Intelligence), abbreviated as AI. It is a new technical science that studies and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. research in this field includes speech recognition, image recognition, robots, natural language processing, intelligent search and expert systems.

Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it may surpass human intelligence if it can think like human beings.

Second, machine learning

Machine learning (Machine Learning) refers to the process of using some algorithms to guide the computer to obtain an appropriate model using known data, and using this model to judge the new situation.

The idea of machine learning is not complicated, it is only a simulation of the learning process in human life. In the whole process, the most important thing is the data.

Any research on learning algorithms trained by data belongs to machine learning, including many techniques that have been developed for many years, such as linear regression (Linear Regression), K-means (K-means, prototype-based objective function clustering method), decision tree (Decision Trees, a graphical method of probability analysis), random forest (Random Forest, a graphical method of probability analysis), PCA (Principal Component Analysis). Principal component analysis, SVM (Support Vector Machine, support vector machine) and ANN (Artificial Neural Networks, artificial neural network).

Third, in-depth learning

The concept of deep learning (Deep Learning) originates from the research of artificial neural network. Multi-layer perceptrons with multiple hidden layers are a kind of deep learning structure. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover the distributed feature representation of data.

Deep learning is a new field of machine learning, its motivation is to establish and simulate the human brain for analytical learning neural network, which imitates the mechanism of the human brain to interpret data, such as images, sounds and texts.

The above is what artificial intelligence, machine learning and deep learning are. The editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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