实用机器学习
文章目录
- 实用机器学习
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- 监督学习
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- [Basic Concepts of Supervised Learning](#Basic Concepts of Supervised Learning)
- [When should we use ML](#When should we use ML)
- [What is a typical pipline of ML](#What is a typical pipline of ML)
- [A toy example](#A toy example)
- 改进
- [Generalization 泛化](#Generalization 泛化)
- 泛化:测试集上的表现
- bias:
- Variance:
- [Define a ML problem](#Define a ML problem)
- 无监督学习
监督学习
- 分类
- 回归
Basic Concepts of Supervised Learning

Sample,example, instance
Features, representations, predictiors
When should we use ML

What is a typical pipline of ML

Define A ML problem -> Construct Dataset -> Transform data &get features -> Design & train a model -> Use the model to predict
A toy example

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Define a ML problem
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Construct dataset
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Transform data
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Design % train a model(Training)
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Use the model to predict
改进




Generalization 泛化

泛化:测试集上的表现

bias:
Variance:

Define a ML problem
无监督学习
- 聚类
- 降维