本书是迄今市面上内容全面的机器学习教材之一,书中汇集了所有用于理解、挖掘和分析数据的先进方法,并且通过数百个精选实例和解说性插图,直观而准确地阐释了这些方法背后的原理,内容涵盖了机器学习的构成要素和机器学习任务、逻辑模型、几何模型、统计模型,以及矩阵分解、ROC分析等时下热点话题。 本书不仅内容丰富,而且图文并茂,无论是新手还是有经验的读者都能从中获益。
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Seller: MERS Goodwill, Saint Louis, MO, U.S.A.
Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured. Seller Inventory # MERV.7115405778.A
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2016-01-01 Pages: 265 Language: Chinese Publisher: People Post Press machine learning is one comprehensive machine learning materials. The book first introduces the elements (tasks. models. features) machine learning and machine learning tasks. followed by a detailed analysis of the logical model (tree model. model rules). geometry (linear model and model-based distance) and probability models and then discuss the features. integration. and machine learning methods are wh. Seller Inventory # CX020992
Quantity: 5 available