{"title":"László Mátyás","description":null,"products":[{"product_id":"emerging-european-economies-after-the-pandemic-springer-nature-switzerland-ag-9783030939656-stuck-in-the-middle-income-trap-l-szl-m-ty-s","title":"Emerging European Economies after the Pandemic","description":"\u003cp\u003eThis edited volume examines the development path of eight Central and Eastern European countries with an overlapping historical background that joined the European Union between 2004 and 2013, and identifies the main similarities and differences between the countries concerned.\u003c\/p\u003e","brand":"László Mátyás","offers":[{"title":"Default Title","offer_id":52275417874774,"sku":"9783030939656","price":242.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030939656.jpg?v=1767815168"},{"product_id":"emerging-european-economies-after-the-pandemic-springer-nature-switzerland-ag-9783030939625-stuck-in-the-middle-income-trap-l-szl-m-ty-s","title":"Emerging European Economies after the Pandemic","description":"\u003cp\u003eThis edited volume examines the development path of eight Central and Eastern European countries with an overlapping historical background that joined the European Union between 2004 and 2013, and identifies the main similarities and differences between the countries concerned.\u003c\/p\u003e","brand":"László Mátyás","offers":[{"title":"Default Title","offer_id":52275418333526,"sku":"9783030939625","price":242.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030939625.jpg?v=1767815171"},{"product_id":"econometrics-with-machine-learning-springer-international-publishing-ag-9783031151484-l-szl-m-ty-s","title":"Econometrics with Machine Learning","description":"\u003cp\u003eDiscover the innovative intersection of econometrics and machine learning in \u003cstrong\u003eEconometrics with Machine Learning\u003c\/strong\u003e by \u003cstrong\u003eLászló Mátyás\u003c\/strong\u003e. Published in 2022 by \u003cstrong\u003eSpringer International Publishing AG\u003c\/strong\u003e, this hardback edition spans 371 pages, offering a comprehensive exploration of how machine learning techniques can significantly enhance econometric analysis.\u003c\/p\u003e \n\n\u003cp\u003eThis essential guide not only promotes the integration of machine learning tools into econometric practice but also provides a thorough theoretical foundation. Whether you're a seasoned economist or a data scientist, this book will expand your econometric toolbox, enabling you to leverage advanced methodologies for deeper insights and more robust results.\u003c\/p\u003e\n\n\u003cp\u003eStay ahead in your field by embracing the future of data analysis with \u003cstrong\u003eEconometrics with Machine Learning\u003c\/strong\u003e. Perfect for academics and practitioners alike, this book is a must-have for anyone interested in the evolving landscape of econometrics.\u003c\/p\u003e","brand":"László Mátyás","offers":[{"title":"Default Title","offer_id":52275644989782,"sku":"9783031151484","price":181.87,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783031151484.jpg?v=1767815661"}],"url":"https:\/\/www.englishbook.pt\/collections\/laszlo-matyas.oembed","provider":"Bookshop","version":"1.0","type":"link"}