Machine learning with Spark and Python : essential techniques for predictive analytics
"Machine learning focuses on predition-- using what you know to predict what you would like to know based on historical relationships between the two. At its core, it's a mathematical/algorithm-based technology that, until recently, required a deep understanding of math and statistical con...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Indianapolis, IN :
Wiley
2019.
Paris : Cyberlibris |
| Schlagworte: | |
| Online Zugang: | Accès Université d'Orléans et IFPM |
| Anmerkung: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781119562016.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine learning with Spark and Python, essential techniques for predictive analytics, Michael Bowles, 2nd edition., 2020, Indianapolis, IN, Wiley, 1 Vol.(XXVII-340 p.), 978-1-119-56193-4 |
Inhaltsangabe:
- The two essential algorithms for making predictions
- Understand the problem by understanding the data
- Predictive model building : balancing performance, complexity, and big data
- Penalized linear regression
- Building predictive models using penalized linear methods
- Ensemble methods
- Building ensemble models with Python