Java for Data Science

Table of Contents

1. Getting started with Data Science
2. Data Acquisition
3. Data Cleaning
4. Data Visualization
5. Statistical Data Analysis Techniques
6. Machine Learning
7. Neural Networks
8. Deep Learning
9. Text Analysis
10. Visual and Audio Analysis
11. Parallel Techniques for Data Analysis
12. Bringing It All Together