Big Data Analysis Computer (26 results)

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Condition: New. pp. 122.

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paperback. Condition: New. Paperback. Pub Date: 2025-01 Pages: 228 Publisher: People's Posts and Telecommunications Press This book will guide readers into the field of python big data financial analysis. starting with basic knowledge and gradually deepening application. Through learning and practicing the contents of this book. readers can master the skills and methods of using python for financial big data analysis. laying a solid foundation for future study and work. The main contents of this book include an overvie.

paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-06 Pages:298 Publisher:Tongji University Press This book is a dual textbook for the core courses of Big Data Technology and Application majors in higher vocational colleges. By deconstructing the tasks of a trade export big data analysis project in a practical application scenario. it introduces the basic knowledge of big data. big data platform deployment and operation and maintenance. data collection. data cleaning. processing and storage. data analy.

Taschenbuch. Condition: Neu. COMPUTER FORENSICS AND ANALYTICAL MEASURES IN THE AGE OF BIG DATA | BIG DATA ANALYSIS | Chibuike Uzoagba | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206147237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. Data Analysis Technologies: Computer Vision, Deep Learning, Big Data | Yuriy Ushenko (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786205640258 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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paperback. Condition: New. Paperback. Pub Date: 2024-05 Pages: 207 Publisher: Tsinghua University Press This book focuses on information technology tools and big data analysis. Combining the development of information technology in the current era. it introduces the tools. methods and applications related to big data analysis in detail through 10 representative experiments. On the one hand. this book covers the basic knowledge system of big data analysis. such as basic information technology knowledge. aitudio platform.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-06 Pages: 304 Publisher: Tsinghua University Press This book introduces the basic concepts. common methods and program implementation of numerical computing in an easy-to-understand way. The content covers the general concepts of numerical computing and common methods of error analysis. direct solutions to linear equations. the concept of interpolation and the main interpolation methods. common methods of iterative methods for solving equations. line.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date:2016-07-01 Pages:392 Publisher: Renmin University of China press data analysis of computer professional courses is based on large data analysis using statistical master students. through the course of learning to enable students to master the big data analysis of operating system required in the field of use of basic knowledge. basic knowledge of database and based on the analysis of the data processing.

paperback. Condition: New. Paperback. Pub Date: 2021-05-01 Pages: 309 Language: Chinese Publisher: Tsinghua University Press Python and Big Data Analysis Application/Computer Task-Driven Teaching Reform Textbook for Colleges and Universities uses Python programming language to analyze big data. the whole book uses case studies As the main line. a large number of examples are used to demonstrate the powerful functions of Python in big data analysis applications.?Python and Big Data Analysis Application/Computer Task-Dri.

paperback. Condition: New. Paperback. Pub Date: 2020-07-01 Pages: 527 Language: Chinese Publisher: Renmin University of China Press Big Data Computer Fundamentals (2nd Edition)/Big Data Analysis and Statistics Application Series is a book by Renmin University of China. Peking University. China The five universities of the Academy of Sciences. the Central University of Finance and Economics. and the Capital University of Economics and Business jointly cultivate the basic computer teaching materials for the experimental .

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2022-10-01 Pages: 652 Publisher: China Water Conservancy and Hydropower Press In this edition. Nell Dale is no longer the author of Data Structures (C++ Plus Implementation) (6th Edition) sole author. This book joins two authorsChip Weems and Tim Richardsand continues the fine tradition of previous editions. In other books. Chip and Nell co-authored for more than three decades. such as Java Plus Data Structures. which provided the foundation for this book.

Condition: New. Print on Demand pp. 122.

Condition: New. PRINT ON DEMAND pp. 122.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer vision is one of the most popular areas of research in the field of deep learning. It is located at the intersection of many academic subjects such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information Retrieval, Machine Learning), Engineering (Robotics, Language, Natural Language Analysis, Image Processing), Physics (optics), biology (neurology) and psychology (cognitive sciences). Since Computer Vision represents a relative understanding of the visual environment and its context, many scientists believe that this field is paving the way to Aggregate Artificial Intelligence due to its interdisciplinary position. 184 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computer vision is one of the most popular areas of research in the field of deep learning. It is located at the intersection of many academic subjects such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information .

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research is anchored on computer forensics and its preventive measures in the age of big data. The computing and storage capacity in the age of Information Technology has made the growth of digital data accelerating at unprecedented and virtually incomprehensible rate. This big data revolution has opened up new opportunities in various fields. Big data is an invaluable tool in digital forensic investigation. The availability of big datasets can be helpful in some scenarios; but it also introduces new challenges in investigations. The existing open source and proprietary tools and infrastructures have limited scope and cannot meet the expected response time to investigate on big dataset. Cyber Forensics investigators face challenges in identifying the relevant evidences from a big dataset, collecting, analyzing those evidence and reconstruct past events. In this paper, we propose the definition of big data forensics and analytically analyze the big data forensics domain to explore the challenges in digital forensics paradigm. We propose a conceptual model to associate big data forensics investigations and provide new insights to investigate criminal incidents.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer vision is one of the most popular areas of research in the field of deep learning. It is located at the intersection of many academic subjects such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information Retrieval, Machine Learning), Engineering (Robotics, Language, Natural Language Analysis, Image Processing), Physics (optics), biology (neurology) and psychology (cognitive sciences). Since Computer Vision represents a relative understanding of the visual environment and its context, many scientists believe that this field is paving the way to Aggregate Artificial Intelligence due to its interdisciplinary position.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision is one of the most popular areas of research in the field of deep learning. It is located at the intersection of many academic subjects such as Computer Science (Graphics, Algorithms, Theory, Systems, Architecture), Mathematics (Information Retrieval, Machine Learning), Engineering (Robotics, Language, Natural Language Analysis, Image Processing), Physics (optics), biology (neurology) and psychology (cognitive sciences). Since Computer Vision represents a relative understanding of the visual environment and its context, many scientists believe that this field is paving the way to Aggregate Artificial Intelligence due to its interdisciplinary position.