【预订】Foundations of Data Science for Engineering Problem Solv 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9789811651595 Author 作者 Parikshit Narendra Mahalle Format 版本 精装 Pages Number 页数 117页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-09-20 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.38 Shipping Weight 商品重量 0.80 Language 语种 其它（含多语） Book Contents 内容简介 This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is
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Product Details 基本信息 ISBN-13 书号 9781032346748 Author 作者 Shea Format 版本 精装 Pages Number 页数 496页 Publisher 出版社 CRC Press Publication Date 出版日期 2024-02-16 Product Dimensions 商品尺寸 254 x 178 mm (7 x 10) Shipping Weight 商品重量 2.39磅 Language 语种 其它（含多语） Book Contents 内容简介 Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statist
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Product Details 基本信息 ISBN-13 书号 9789813364592 Author 作者 Mahalle Parikshit N. Format 版本 平装-胶订 Pages Number 页数 64页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2021-01-23 Product Dimensions 商品尺寸 9.2 x 6.1 x 0.1 cm Shipping Weight 商品重量 270g Language 语种 英语 Book Contents 内容简介 This bookoffers a basic understanding of the Internet ofThings (IoT), its design issues and challenges for healthcare applications. It also provides details of the challenges of healthcare big data, role of big data inhealthcareand techniques,andtoolsforIoT inhealthcare. Thisbookoffers a strong foundation to a beginner. All technical details that include healthcare data collection unit, technologies and tools used for the big data analytics implementation are explained in a clear and organized format.
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Product Details 基本信息 ISBN-13 书号 9781032350424 Author 作者 Shea Format 版本 平装-胶订 Pages Number 页数 496页 Publisher 出版社 CRC Press Publication Date 出版日期 2024-02-16 Product Dimensions 商品尺寸 254 x 178 mm (7 x 10) Shipping Weight 商品重量 1.91磅 Language 语种 其它（含多语） Book Contents 内容简介 Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct
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海外直订Foundations of Data Science for Engineering Prob... 工程问题
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【现货】英文原版Foundations of Data Science
Product Details 基本信息 ISBN-13 书号 9781108485067 Author 作者 Blum Avrim Format 版本 精装 Pages Number 页数 432页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2020-01-23 Language 语种 英语 Book Contents 内容简介 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic tech
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【预订】Foundations of Data Science for Engineering Problem Solv 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9789811651625 Author 作者 Mahalle Parikshit Narendra Format 版本 平装-胶订 Pages Number 页数 117页 Publisher 出版社 Springer Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.28 Shipping Weight 商品重量 0.43 Language 语种 其它（含多语）
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Product Details 基本信息 ISBN-13 书号 9783110795882 Author 作者 Emmert-Streib Format 版本 精装 Pages Number 页数 408页 Publisher 出版社 De Gruyter Oldenbourg Publication Date 出版日期 2022-10-10 Product Dimensions 商品尺寸 24,0 x 17,0 Language 语种 其它（含多语） Book Contents 内容简介 The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.
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Product Details 基本信息 ISBN-13 书号 9783031190735 Author 作者 Tomas Hrycej Format 版本 精装 Pages Number 页数 224页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-11-19 Language 语种 其它（含多语） Book Contents 内容简介 This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success. Topics and features:Focuses on approaches supported by mathematical arguments, rather than sole com
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