Machine Learning 2024 4 2
Definition of Machine Learning (ML)
- Without being explicitly programmed.
- ML is a discipline in which computers build data-based probabilistic statistical models and use them to predict and analyze data. Also called statistical machine learning (统计机器学习).
The basic classification 1. Supervised learning (SL, 监督学习): SL is a ML method in which the prediction models are acquired from labeled data. 2. Unsupervised learning (USL, 无监督学习): USL refers to the ML problem of learning predictive models from unlabeled data. 3. Reinforcement learning (RL, 强化学习): RL is a ML problem in which the intelligent system learns the optimal behavior strategy through continuous interaction with the environment. 4. Semi-supervised learning (半监督学习), active learning (主动学习).
[[Support Vector Machine (SVM, 支持向量机)]]