{"product_id":"bayesian-machine-learning-in-geotechnical-site-characterization-9781032314419","title":"Bayesian Machine Learning in Geotechnical Site Characterization","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 176 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 07 August 2024\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction. Use of these methods is demonstrated with geotechnical site characterization examples.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 412g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032314419\u003c\/p\u003e","brand":"JianyeChing","offers":[{"title":"Hardback","offer_id":47869947478266,"sku":"9781032314419","price":166.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1761319761319_book.jpg?v=1761462907","url":"https:\/\/shulphink.com\/products\/bayesian-machine-learning-in-geotechnical-site-characterization-9781032314419","provider":"Shulph Ink","version":"1.0","type":"link"}