Ensemble Methods for Machine Learning - Gautam Kunapuli
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Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science ... Pilns apraksts
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Aprašymas
Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real-world applications. Learning from hands-on case studies, you'll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models.
Vairāk informācijas
| Autors | Gautam Kunapuli |
|---|---|
| Izdevējs | Manning |
| Izlaides gads | 2023 |
| Vāka tips | Mīkstais vāks |
| EAN | 9781617297137 |