'Python ML 갈무리' Reference: Sebastian "Raschka, Python Machine Learning", 2015

Chapter1. Giving Computers the Ability to Learn from Data

Chapter2. Training Machine Learning Algorithms

Chapter3. A Tour of Machine Learning Classifiers Using Scikit-learn

Chapter4. Building Good Training Sets - Data Preprocessing

Chapter5. Compressing Data via Dimensionality Reduction

Chapter6. Learning Best Practices for Model Evaluation and Hyperparameter Tuning

Chapter7. Combining Different Models for Ensemble Learning

Chapter8. Applying Machine Learning to Sentiment Analysis

Chapter9. Embedding a Machine Learning Model into a Web Application

Chapter10. Predicting Continuous Target Varibles with Regression Analysis

Chapter11. Working with Unlabeled Data - Clustering Analysis

Chapter12. Training Artificial Neural Networks for Image Recognition

Chapter13. Parallelizing Neural Network Training with Theano