1. Artificial Intelligence
Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
Artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes speech recognition , image recognition, robots, natural language processing, intelligent search and expert systems, etc.
Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may even exceed human intelligence.
2. Machine Learning
Machine Learning refers to using certain algorithms to guide the computer to use known data to derive an appropriate model and use this model The process of making judgments about new situations.
The idea of machine learning is not complicated. It is just a simulation of the learning process in human life. In this entire process, the most critical thing is data.
Any related research on learning algorithms trained through data belongs to machine learning, including many technologies that have been developed for many years, such as linear regression (Linear Regression), K-means (K-means, prototype-based objective function aggregation) class method), Decision Trees (Decision Trees, a graphical method using probability analysis), Random Forest (Random Forest, a graphical method using probability analysis), PCA (Principal Component Analysis, principal component analysis), SVM (Support Vector Machine, support vector machine) and ANN (Artificial Neural Networks, artificial neural network).
3. Deep Learning
The concept of deep learning (Deep Learning) originates from the research of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep learning discovers distributed feature representations of data by combining low-level features to form more abstract high-level representation attribute categories or features.
Deep learning is a new field in machine learning research. Its motivation is to build and simulate the neural network of the human brain for analysis and learning. It imitates the mechanism of the human brain to interpret data, such as images, sounds and text. .
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