Individual Chapters:
Front Matter
http://ciml.info/dl/v0_99/ciml-v0_99-ch00.pdf
Decision Trees
http://ciml.info/dl/v0_99/ciml-v0_99-ch01.pdf
Limits of Learning
http://ciml.info/dl/v0_99/ciml-v0_99-ch02.pdf
Geometry and Nearest Neighbors
http://ciml.info/dl/v0_99/ciml-v0_99-ch03.pdf
The Perceptron
http://ciml.info/dl/v0_99/ciml-v0_99-ch04.pdf
Practical Issues
http://ciml.info/dl/v0_99/ciml-v0_99-ch05.pdf
Beyond Binary Classification
http://ciml.info/dl/v0_99/ciml-v0_99-ch06.pdf
Linear Models
http://ciml.info/dl/v0_99/ciml-v0_99-ch07.pdf
Bias and Fairness
http://ciml.info/dl/v0_99/ciml-v0_99-ch08.pdf
Probabilistic Modeling
http://ciml.info/dl/v0_99/ciml-v0_99-ch09.pdf
Neural Networks
http://ciml.info/dl/v0_99/ciml-v0_99-ch10.pdf
Kernel Methods
http://ciml.info/dl/v0_99/ciml-v0_99-ch11.pdf
Learning Theory
http://ciml.info/dl/v0_99/ciml-v0_99-ch12.pdf
Ensemble Methods
http://ciml.info/dl/v0_99/ciml-v0_99-ch13.pdf
Efficient Learning
http://ciml.info/dl/v0_99/ciml-v0_99-ch14.pdf
Unsupervised Learning
http://ciml.info/dl/v0_99/ciml-v0_99-ch15.pdf
Expectation Maximization
http://ciml.info/dl/v0_99/ciml-v0_99-ch16.pdf
Structured Prediction
http://ciml.info/dl/v0_99/ciml-v0_99-ch17.pdf
Imitation Learning
http://ciml.info/dl/v0_99/ciml-v0_99-ch18.pdf
Back Matter
http://ciml.info/dl/v0_99/ciml-v0_99-ch19.pdf返回搜狐,查看更多
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