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myai's Introduction

AI

机器学习

监督学习

  • 线性回归
  • 逻辑回归
  • 线性判别分析
  • 决策树
  • 朴素贝叶斯
  • K临近
  • 学习向量量化
  • 支持向量机
  • 随机森林
  • AdaBoost

非监督学习

  • 高斯混合模型
  • 限制玻尔兹曼机
  • K-means聚类
  • 最大期望算法

强化学习

强化学习和监督学习、无监督学习最大的不同就是不需要大量的“数据喂养”,而是通过自己不停的尝试来学会某些技能。

集成学习

集成学习的核心思路就是“人多力量大”,它并没有创造出新的算法,而是把已有的算法进行结合,从而得到更好的效果。基础模型的组装思路有两种:

  • bagging(bootstrap aggregating)
  • boosting

深度学习

myai's People

Contributors

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