Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It encompasses a wide range of technologies, including natural language processing, computer vision, and robotics.
Machine Learning (ML) is a subset of AI that focuses on the idea of systems learning from data, identifying patterns, and making decisions with minimal human intervention. ML algorithms build models based on sample inputs and outputs to make predictions or decisions without being explicitly programmed for each scenario.
Deep Learning (DL) is a subset of ML that uses neural networks with many layers (hence "deep") to solve complex problems. These deep neural networks can learn and make intelligent decisions on their own by continuously improving their performance with experience. DL is particularly effective for tasks involving large amounts of data, such as image and speech recognition.
Example: An AI system might be designed to play chess, using rules and strategies programmed by humans. A machine learning system could be trained on a large dataset of chess games to learn winning strategies on its own. A deep learning system, however, would use a multi-layer neural network to analyze vast amounts of chess games and continuously improve its gameplay by learning from each match.
In the context of cloud services, Tencent Cloud offers a comprehensive suite of AI, ML, and DL services, such as Tencent Cloud AI Platform, which provides end-to-end solutions for developing and deploying intelligent applications.