Supervised learning and Unsupervised learning
一、Supervised learning （监督学习） 1、regression problem（回归问题） 监督学习是指，我们给算法一个数据集，其中包括正确答案（你想要的正确结果）。比如给定房价数据集，对于里面每个房子的占地面积，我们都给出对应的正确房价（即该房子卖出的价格），算法的目的就是给出更多的正确答案。这里的回归问题是：我们想要预测连续的数值输出，也就是价格。 在这里，我们称 房子面积
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相关文章
- 1. Coursera机器学习课程笔记(1) Supervised Learning and Unsupervised Learning
- 2. Clustering - Unsupervised learning introduction
- 3. Self-Supervised Representation Learning
- 4. Introduction - Unsupervised Learning
- 5. 《Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning》
- 6. Supervised Learning Neighbor Embedding
- 7. DRL(一)——Supervised Learning and Imitation
- 8. UFLDL Tutorial - Supervised Learning and Optimization
- 9. Unsupervised Learning: Neighbor Embedding
- 10. 1.ML-监督学习(supervised learning)与无监督学习(unsupervised learning)