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MEGA VÝHODNÉ
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....
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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
schovat popis
- Nakladatel: Morgan Kaufmann
- Kód:
- Rok vydání: 2016
- Jazyk: Angličtina
- Vazba: Taschenbuch
- Počet stran: 654
- Šířka balení: 18.9 cm
- Výška balení: 23.5 cm
- Hloubka balení: 2.8 cm
- Váha balení: 1.4 kg
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