{"product_id":"probabilistic-numerics-computation-as-machine-learning","title":"Probabilistic Numerics: Computation as Machine Learning","description":"\"Probabilistic Numerics: Computation as Machine Learning\" is a groundbreaking work in the field of computational mathematics, authored by leading experts Philipp Hennig, Michael A. Osborne, and Mark Girolami. This scholarly text explores the intersection of numerical analysis and machine learning, presenting innovative probabilistic approaches to computation. The book delves into themes of uncertainty quantification and algorithmic efficiency, offering a fresh perspective on traditional numerical methods. Ideal for researchers and advanced students, it bridges the gap between theory and practical application, making it an essential resource for those at the forefront of computational science.","brand":"Chalkys.com","offers":[{"title":"Default Title","offer_id":47019188191554,"sku":"1857699","price":64.48,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0056\/8043\/1219\/products\/41XrvV9NF8L._SL1500.jpg?v=1696092320","url":"https:\/\/chalkys.com\/products\/probabilistic-numerics-computation-as-machine-learning","provider":"Chalkys.com","version":"1.0","type":"link"}