{"product_id":"feature-learning-and-understanding-algorithms-and-applications-9783030407964","title":"Feature Learning and Understanding: Algorithms and Applications","description":"\u003cp\u003e • Author(s): Haitao Zhao\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: System Theory\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eThis book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45278490493079,"sku":"9783030407964","price":10187.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783030407964.webp?v=1769291102","url":"https:\/\/atlanticbooks.com\/products\/feature-learning-and-understanding-algorithms-and-applications-9783030407964","provider":"Atlantic Books","version":"1.0","type":"link"}