Table of Contents
- Data Science using Java
- Data Processing toolbox
- Exploratory Data Analysis
- Supervised Learning: Classification and Regression
- Unsupervised Learning: clustering and dimensionality reduction
- Working with text: NLP/IR
- Gradient Boosting Trees (xgboost)
- Deep Learning (deeplearning4j)
- Scaling Data Science
- Deploying models
