Fundamentals of Data Science

1. Introduction
2. Data, sources, and generation
3. Data preparation
4. Machine learning
5. Regression
6. Classification
7. Artificial neural networks
8. Feature selection and extraction
9. Cluster analysis
10. Ensemble learning
11. Association-rule mining
12. Big-Data analysis
13. Data Science in practice
14. Conclusion

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• Ciência da Computação
• A matemática discreta
• Engenharia biomédica

Data Science; Descriptive Learning; Predictive Learning; Data Preparation; Machine Learning; Clustering; Big Data; Exploratory Mining; Deep Learning