{"product_id":"learning-to-quantify-9783031204661","title":"Learning to Quantify","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eLearning to quantify is the task of training estimators of class proportions in unlabeled data by supervised learning, which is different from classification. This open access book provides an introduction to the topic, covering supervised learning methods, evaluation measures, and applications in various fields. It is suitable for researchers, data scientists, and PhD students who want to learn about quantification and apply it to their work. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 137 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 17 March 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive open-access book offers an in-depth introduction and comprehensive overview of the field of learning to quantify, also known as \"quantification.\" It delves into the task of training estimators of class proportions in unlabeled data through supervised learning. In the realm of data science, learning to quantify stands as a distinct domain, closely related to classification but distinct in its approach. While it may seem intuitive to estimate class proportions by simply classifying all data and counting the labels assigned by a classifier, this method often yields inaccurate and biased estimates.\u003cbr\u003e\u003cbr\u003eThe book provides a comprehensive exploration of learning to quantify by examining the various supervised learning methods employed in this process. It also discusses the essential evaluation measures and evaluation protocols that should be employed to assess the quality of the predictions generated. Furthermore, the book highlights the numerous fields of human activity where the application of quantification techniques can yield superior results compared to the naïve use of classification techniques. It delves into advanced topics in quantification research, making it an invaluable resource for researchers, data scientists, and Ph.D. students seeking to stay abreast of the latest developments in this field.\u003cbr\u003e\u003cbr\u003eMoreover, this book is particularly suited to researchers who wish to apply data science technologies to fields of human activity that focus on aggregate (or \"macro\") data rather than individual (or \"micro\") data. These fields include social sciences, political science, epidemiology, market research, and more. By leveraging the power of quantification, researchers can gain insights into complex systems, make informed decisions, and drive positive change in a wide range of domains.\u003cbr\u003e\u003cbr\u003eIn summary, this open-access book serves as a comprehensive guide to learning to quantify, providing a solid foundation for researchers, data scientists, and students interested in this field. Its in-depth exploration of supervised learning methods, evaluation measures, and application domains makes it an essential resource for anyone seeking to advance their understanding and expertise in quantification.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 250g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031204661\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Andrea Esuli,Alessandro Fabris,Alejandro Moreo,Fabrizio Sebastiani","offers":[{"title":"Paperback \/ softback","offer_id":44307566657786,"sku":"9783031204661","price":29.14,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_a984d23a-426c-467b-ab0e-f444cbe3efce.jpg?v=1688109791","url":"https:\/\/shulphink.com\/products\/learning-to-quantify-9783031204661","provider":"Shulph Ink","version":"1.0","type":"link"}