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Item Details
| Title:
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ENSEMBLE METHODS
FOUNDATIONS AND ALGORITHMS |
| By: |
Zhi-Hua, PhD Zhou |
| Format: |
Hardback |
| List price:
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£64.99 |
| Our price: |
£58.49 |
| Discount: |
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| You save:
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£6.50 |
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| ISBN 10: |
1032960604 |
| ISBN 13: |
9781032960609 |
| Availability: |
Usually dispatched within 3-5 days.
 Delivery
rates
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| Stock: |
Currently 2 available |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
15 February, 2025 |
| Edition: |
2 ed |
| Series: |
Chapman & Hall/CRC Machine Learning & Pattern Recognition |
| Pages: |
368 |
| Description: |
Ensemble methods that train multiple learners and then combine them to use, with \textit{Boosting} and \textit{Bagging} as representatives, are well-known machine learning approaches. An ensemble is significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks. |
| Illustrations: |
4 Tables, black and white; 43 Line drawings, color; 27 Line drawings, black and white; 43 Illustrations, color; 27 Illustrations, black and white |
| Returns: |
Returnable |
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