{"title":"Vladik Kreinovich","description":null,"products":[{"product_id":"towards-explainable-fuzzy-ai-concepts-paradigms-tools-and-techniques-springer-international-publishing-ag-9783031099731-vladik-kreinovich","title":"Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques","description":"\u003cp\u003eModern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good.\u003c\/p\u003e","brand":"Vladik Kreinovich","offers":[{"title":"Default Title","offer_id":52256719864150,"sku":"9783031099731","price":54.55,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783031099731.jpg?v=1767786504"},{"product_id":"towards-explainable-fuzzy-ai-concepts-paradigms-tools-and-techniques-springer-international-publishing-ag-9783031099762-vladik-kreinovich","title":"Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques","description":"\u003cp\u003eModern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good.\u003c\/p\u003e","brand":"Vladik Kreinovich","offers":[{"title":"Default Title","offer_id":52256720650582,"sku":"9783031099762","price":54.55,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783031099762.jpg?v=1767786505"},{"product_id":"machine-learning-for-econometrics-and-related-topics-springer-international-publishing-ag-9783031436000-vladik-kreinovich","title":"Machine Learning for Econometrics and Related Topics","description":"\u003cp\u003eDiscover the transformative power of machine learning in the field of economics with \u003cstrong\u003eMachine Learning for Econometrics and Related Topics\u003c\/strong\u003e by \u003cstrong\u003eVladik Kreinovich\u003c\/strong\u003e. Published in 2024 by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e, this insightful hardback edition spans \u003cstrong\u003e499 pages\u003c\/strong\u003e of cutting-edge analysis and application. Dive into the revolutionary techniques of deep learning that have achieved remarkable successes across various sectors, particularly in economics. This book serves as an essential resource for anyone looking to understand the intersection of machine learning and econometrics, providing both theoretical insights and practical applications. Whether you're a student, researcher, or professional in the field, Kreinovich's work will equip you with the knowledge to harness the potential of machine learning in your economic analyses. 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Originally designed to address transportation challenges, these methods have now proven effective across various statistical applications, particularly in the field of economics. Kreinovich expertly illustrates how these techniques can transform economic analysis and decision-making, making this book an essential read for scholars and professionals alike. 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