도서 정보
도서 상세설명
1: A Process for Success
The process
Business understanding
Data understanding
Data preparation
Modeling
Evaluation
Deployment
Algorithm flowchart
Summary
2: Linear Regression – The Blocking and Tackling of Machine Learning
Univariate linear regression
Multivariate linear regression
Other linear model considerations
Summary
3: Logistic Regression and Discriminant Analysis
Classification methods and linear regression
Logistic regression
Model selection
Summary
4: Advanced Feature Selection in Linear Models
Regularization in a nutshell
Business case
Modeling and evaluation
Model selection
Summary
5: More Classification Techniques – K-Nearest Neighbors and Support Vector Machines
K-Nearest Neighbors
Support Vector Machines
Business case
Feature selection for SVMs
Summary
6: Classification and Regression Trees
Introduction
An overview of the techniques
Business case
Summary
7: Neural Networks
Neural network
Deep learning, a not-so-deep overview
Business understanding
Data understanding and preparation
Modeling and evaluation
An example of deep learning
Summary
8: Cluster Analysis
Hierarchical clustering
K-means clustering
Gower and partitioning around medoids
Data understanding and preparation
Modeling and evaluation
Summary
9: Principal Components Analysis
An overview of the principal components
Modeling and evaluation
Summary
10: Market Basket Analysis and Recommendation Engines
An overview of a market basket analysis
Business understanding
Data understanding and preparation
Modeling and evaluation
An overview of a recommendation engine
Business understanding and recommendations
Data understanding, preparation, and recommendations
Modeling, evaluation, and recommendations
Summary
11: Time Series and Causality
Univariate time series analysis
Modeling and evaluation
Summary
12: Text Mining
Text mining framework and methods
Topic models
Modeling and evaluation
Summary
Appendix A: R Fundamentals
Introduction
Getting R up and running
Using R
Data frames and matrices
Summary stats
Installing and loading the R packages
Summary
Appendix B: Index