YOUNG

Machine Learning관련 서적으로 현재 읽고 있는 책입니다. 영문으로 되어있으며 책의 내용들 중 중요한 내용만을 정리해서 올리고자 합니다. 지속적으로 업데이트해나갈 예정입니다.

목차는 다음과 같습니다.

Preface

Notation

1. Machine Learning for Predictive Data Analytics

2. Data to Insights to Decisions

3. Data Exploration

4. Information-based Learning

5. Similarity-based Learning

6. Probability-based Learning

7. Error-based Learning

8. Evaluation

9. Case Study : Customer Churn

10. Case Study : Galaxy Classification

11. The Art of Machine Learning for Predictive Data Analytics

부록

A Descriptive Statistics and Data Visualization for Machine Learning

B Introduction to Probability for Machine Learning

C Differentiation Techniques for Machine Learning