本培训课程面向希望在实际应用中应用基本Machine Learning技术的人员。
听众
熟悉机器学习并熟悉如何编程的数据科学家和统计学家。本课程的重点是数据/模型准备，执行，事后分析和可视化的实际方面。目的是向有兴趣在工作中应用这些方法的参与者提供机器学习的实用介绍
行业特定示例用于使培训与受众相关。
- 朴素贝叶斯
- 多项式模型
- 贝叶斯分类数据分析
- 判别分析
- 线性回归
- 逻辑回归
- 广义线性模型
- EM算法
- 混合模型
- 加性模型
- 分类
- K近邻
- 岭回归
- 聚类
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