Data Mining
1569 Kč
Sleva až 70% u třetiny knih
Part I: Introduction to data mining 1. What's it all about? 2. Input: Concepts, instances, attributes 3. Output: Knowledge representation 4. Algorithms: The basic methods 5. Credibility: Evaluating what's been learned
Part II. More advanced machine learning schemes 6. Trees and rules 7. Extending instance-based and linear models 8. Data transformations 9. Probabilistic methods 10. Deep learning 11. Beyond supervised and unsupervised learning 12. Ensemble learning 13. Moving on: applications and beyond
| Autor: | Witten, Ian H. |
| Nakladatel: | Morgan Kaufmann |
| Rok vydání: | 2016 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 654 |
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