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Transactions on Computer Systems and Networks (309 results)
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Paradigms of Smart and Intelligent Communication, 5G and Beyond
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Python Programming Recipes for IoT Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. pp. 450.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Statistics and Data Analysis for Engineers and Scientists (Hardcover)
Published by Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9819946603 ISBN 13: 9789819946600
Language: English
Hardcover. Condition: new. Hardcover. This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programsMicrosoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 450.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New. pp. 450.
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Design Principles for Embedded Systems (Paperback)
Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811632952 ISBN 13: 9789811632952
Language: English
Paperback. Condition: new. Paperback. The book is designed to serve as a textbook for courses offered to graduate and undergraduate students enrolled in electronics and electrical engineering and computer science. This book attempts to bridge the gap between electronics and computer science students, providing complementary knowledge that is essential for designing an embedded system. The book covers key concepts tailored for embedded system design in one place. The topics covered in this book are models and architectures, Executable Specific Languages SystemC, Unified Modeling Language, real-time systems, real-time operating systems, networked embedded systems, Embedded Processor architectures, and platforms that are secured and energy-efficient. A major segment of embedded systems needs hard real-time requirements. This textbook includes real-time concepts including algorithms and real-time operating system standards like POSIX threads. Embedded systems are mostly distributed and networked for deterministic responses. The book covers how to design networked embedded systems with appropriate protocols for real-time requirements. Each chapter contains 2-3 solved case studies and 10 real-world problems as exercises to provide detailed coverage and essential pedagogical tools that make this an ideal textbook for students enrolled in electrical and electronics engineering and computer science programs. The topics covered in this book are models and architectures, Executable Specific Languages SystemC, Unified Modeling Language, real-time systems, real-time operating systems, networked embedded systems, Embedded Processor architectures, and platforms that are secured and energy-efficient. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python (Transactions on Computer Systems and Networks)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Multivariate Analysis and Machine Learning Techniques (Hardcover)
Published by Springer Verlag, Singapore, Singapore, 2025
ISBN 10: 9819903521 ISBN 13: 9789819903528
Language: English
Hardcover. Condition: new. Hardcover. This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning. Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Multivariate Analysis and Machine Learning Techniques : Feature Analysis in Data Science Using Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: new.
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Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python
Published by Springer-Nature New York Inc, 2025
ISBN 10: 9819903521 ISBN 13: 9789819903528
Language: English
Hardcover. Condition: Brand New. 461 pages. 9.25x6.10x9.49 inches. In Stock.
