{"product_id":"machine-learning-evaluation-towards-reliable-and-responsible-ai-hardback-9781316518861","title":"Machine Learning Evaluation; Towards Reliable and Responsible AI (Hardback) 9781316518861","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Learning Evaluation\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eTowards Reliable and Responsible AI\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eA practical guide to robust performance evaluation methods machine learning models for modern industrial-strength applications.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eNathalie Japkowicz (Author), Zois Boukouvalas (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781316518861, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 November 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e426 pages\u003cbr\u003e25 x 17.5 x 2.8 cm, 0.86 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'I recommend this book for students and instructors of machine learning, both traditional and deep. The authors state: 'The purpose of this book is to present a concise, yet complete, intuitive, yet formal, presentation of machine learning evaluation.' In this important and useful book, they succeed on all counts.' Creed Jones, Computing Reviews\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eAs machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urgent. This book compiles scattered information on the topic from research papers and blogs to provide a centralized resource that is accessible to students, practitioners, and researchers across the sciences. The book examines meaningful metrics for diverse types of learning paradigms and applications, unbiased estimation methods, rigorous statistical analysis, fair training sets, and meaningful explainability, all of which are essential to building robust and reliable machine learning products. In addition to standard classification, the book discusses unsupervised learning, regression, image segmentation, and anomaly detection. The book also covers topics such as industry-strength evaluation, fairness, and responsible AI. Implementations using Python and scikit-learn are available on the book's website.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I. Preliminary Considerations: 1. Introduction\u003cbr\u003e 2. Statistics overview\u003cbr\u003e 3. Machine learning preliminaries\u003cbr\u003e 4. Traditional machine learning evaluation\u003cbr\u003e Part II. Evaluation for Classification: 5. Metrics\u003cbr\u003e 6. Re-sampling\u003cbr\u003e 7. Statistical analysis\u003cbr\u003e Part III. Evaluation for Other Settings: 8. Supervised settings other than simple classification\u003cbr\u003e 9. Unsupervised learning\u003cbr\u003e Part IV. Evaluation from a Practical Perspective: 10. Industrial-strength evaluation\u003cbr\u003e 11. Responsible machine learning\u003cbr\u003e 12. Conclusion\u003cbr\u003e Appendices: A. Statistical tables\u003cbr\u003e B. Advanced topics in classification metrics\u003cbr\u003e References\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Pattern recognition [\u003ca title=\"See our other books on Pattern recognition\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Pattern%20recognition%20%5BUYQP%5D%22\"\u003eUYQP\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52460691226904,"sku":"9781316518861","price":47.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781316518861i.jpg?v=1785458428","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/machine-learning-evaluation-towards-reliable-and-responsible-ai-hardback-9781316518861","provider":"Freshly Printed Books","version":"1.0","type":"link"}