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Product Details 基本信息 ISBN-13 书号 9789811229367 Author 作者 Kang Minsoo Format 版本 平装-胶订 Pages Number 页数 296页 Publisher 出版社 World Scientific Publishing Publication Date 出版日期 2021-03-16 Language 语种 英语 Book Contents 内容简介 This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning. It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems. The second is a step-by-step introduction to Azure Machine Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically. Practic
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Product Details 基本信息 ISBN-13 书号 9789814407854 Author 作者 KANG SOON HOCK & LEONG CHAN-HOONG Format 版本 平装-胶订 Pages Number 页数 204页 Publisher 出版社 World Scientific Publishing Publication Date 出版日期 2012-09-03 Product Dimensions 商品尺寸 8.9 x 6 x 0.6 cm Shipping Weight 商品重量 381g Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9783030359737 Author 作者 Kang Mingu Format 版本 平装-胶订 Pages Number 页数 174页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-01-31 Product Dimensions 商品尺寸 9.2 x 6.1 x 0.4 cm Shipping Weight 商品重量 600g Language 语种 英语 Book Contents 内容简介 This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.
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Product Details 基本信息 ISBN-13 书号 9789811982095 Author 作者 Kang Ning Format 版本 精装 Pages Number 页数 286页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-02-01 Language 语种 其它(含多语) Book Contents 内容简介 This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data
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