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· 분류 : 외국도서 > 대학교재 > 공학계열
· ISBN : 9780262044691
· 쪽수 : 856쪽
목차
I Introduction to Machine Learning and Data Analytics
1 Machine Learning for Predictive Data Analytics
2 Data to Insights to Decisions
3 Data Exploration
II Predictive Data Analytics
4 Information-Based Learning
5 Similarity-Based Learning
6 Probability-Based Learning
7 Error-Based Learning
8 Deep Learning
9 Evaluation
III Beyond Prediction
10 Beyond Prediction: Unsupervised Learning
11 Beyond Prediction: Reinforcement Learning
IV Case Studies and Conclusions
12 Case Study: Customer Churn
13 Case Study: Galaxy Classification
14 The Art of Machine Learning for Predictive Data Analytics
V Appendices
A Descriptive Statistics and Data Visualization for Machine Learning
B Introduction to Probability for Machine Learning
C Differentiation Techniques for Machine Learning
D Introduction to Linear Algebra
Bibliography
Index