- Giving Computers the Ability to Learn from Data
- Training Machine Learning Algorithms for Classification
- A Tour of Machine Learning Classifiers Using Scikit-learn
- Building Good Training Sets – Data Pre-Processing
- Compressing Data via Dimensionality Reduction
- Learning Best Practices for Model Evaluation and Hyperpa- rameter Tuning
- Combining Different Models for Ensemble Learning
- Applying Machine Learning to Sentiment Analysis
- Embedding a Machine Learning Model into a Web Application
- Predicting Continuous Target Variables with Regression Anal- ysis
- Working with Unlabeled Data – Clustering Analysis
- Training Artificial Neural Networks for Image Recognition
- Parallelizing Neural Network Training with Theano
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