Six AI underlying technologies: AI knowledge sharing.
The core technologies of artificial intelligence include machine learning, deep learning, natural language processing, computer vision, speech recognition, and recommendation systems.
Machine learning is a method that uses algorithms and statistical models to allow computers to learn independently from data, which can achieve tasks such as classification, regression, clustering and dimensionality reduction, and is one of the important means to achieve artificial intelligence.
Deep learning is a machine learning technology based on neural network models, which can independently learn features on large-scale datasets and perform tasks such as classification and prediction, and has achieved great success in the fields of image recognition, speech recognition and natural language processing in recent years.
Natural language processing is a technology that links computers and human language, with the aim of enabling computers to understand, process and generate natural language, which is the basis for realizing applications such as intelligent question answering, machine translation, and speech recognition.
Computer vision is a technology that combines computer and image processing technology to enable computers to understand, analyze and process image information, which is the basis for realizing applications such as intelligent safety and autonomous driving.
Speech recognition is a technology that converts sound into text or instructions, the purpose of which is to enable computers to understand and process human voice information, which is the basis for realizing applications such as voice assistants and intelligent customer service.
Recommendation system is a technology that uses user historical behavior and preference information to recommend personalized content for users, which is used in e-commerce, social media, online video and other fields, and is one of the important means to improve user satisfaction and promote business growth.
