{"product_id":"ensemble-methods-foundations-and-algorithms-9781032960609","title":"Ensemble Methods: Foundations and Algorithms","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 348 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 10 March 2025\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eEnsemble 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 700g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 163 x 242 x 27 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032960609\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2 ed\u003c\/p\u003e","brand":"Zhi-Hua, PhDZhou","offers":[{"title":"Hardback","offer_id":47197305471226,"sku":"9781032960609","price":65.68,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/noimage_0478c110-390d-4c34-9013-37bf6a9e304a.png?v=1742234714","url":"https:\/\/shulphink.com\/products\/ensemble-methods-foundations-and-algorithms-9781032960609","provider":"Shulph Ink","version":"1.0","type":"link"}