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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data-Driven Approach for Bio-medical and Healthcare
by Nilanjan Dey
English | 2023 | ISBN: 9811951837 | 246 Pages | True ePUB | 33 MB

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Under Duress: National Statistic Offices in a Transition to War by Mark Craddock
English | July 1, 2025 | ISBN: N/A | ASIN: B0FGCT25Y4 | 758 pages | EPUB | 3.06 Mb
We examine the critical, yet often overlooked, role of National Statistic Offices (NSOs) as indispensable national assets during a nation's transition to war (TTW). In the 21st century, conflict extends beyond traditional battlefields, encompassing economic coercion, hybrid threats, and pervasive information warfare. We argue that NSOs operate on an "unseen frontline," where their reliable and timely data is paramount for national survival, strategic decision-making, and maintaining public trust.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Structures and Algorithms in Python
English | 2021 | ISBN: 9354247865 | 1103 Pages | EPUB (True) | 34 MB
Data Structures and Algorithms in Python provides comprehensive coverage of fundamental data structures and algorithms, and the implementation of these abstract concepts using Python language. This adapted edition of Data Structures and Algorithms in Python has been developed based on the detailed feedback obtained from long-standing users of the book about how the book should be revised. The focus of this adaptation has been on strengthening the coverage and updating the solved examples and exercises.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Structures and Algorithms in Java, 6th Edition
English | 2021 | ISBN: 9354247938 | 1021 Pages | EPUB (True) | 11 MB
Data Structures and Algorithms in Java offers a comprehensive, definitive introduction to data structures and algorithms, including their design, analysis, and implementation in Java. The contents of the book are organized to provide a pedagogical path that starts with the basics of Java programming and object-oriented design and foundational techniques such as algorithm analysis and recursion. The book then presents fundamental data structures, such as arrays, linked lists, stacks, queues, trees, heaps, maps, hash tables, search trees, and graphs, concluding with a discussion on searching and sorting algorithms and memory management. The book incorporates a host of pedagogical features, including illustrations, code fragments, and end-of-chapter exercises.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Structures and Algorithms in Java: A Project-Based Approach New Edition
by Dan S. Myers
English | 2025 | ISBN: 1009260332 | 640 Pages | PDF | 8 MB

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Structures and Algorithm, 2nd Edition
English | 2020 | ISBN: 9781984641243 | 345 Pages | PDF (True) | 9 MB
An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms; contains up-to-date and easy-to-use text on data structures and algorithms.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Science with Rust: Mastering Data Science with Rust: Unleash the Power of Performance and Safety for Your Data Analysis by success kpk
English | May 3, 2025 | ISBN: N/A | ASIN: B0F7G6VBJR | 539 pages | EPUB | 0.58 Mb
**Mastering Data Science with Rust: Unleash the Power of Performance and Safety for Your Data Analysis**

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Science and Network Engineering: Proceedings of ICDSNE 2025
English | 2026 | ISBN: 3032077346 | 347 Pages | PDF (True) | 42 MB
This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 18-19, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Science MBA: Big Data, Digitalization, and Strategy; With Applications in R
English | 2025 | ISBN: 9819524326 | 183 Pages | PDF EPUB (True) | 25 MB
This text book focuses on what could be the most important challenge for firms to boost long-term productivity and competitiveness: digital strategy. It seeks to provide readers with a solid knowledge of the most relevant issues and concepts, that will be relevant to MBA students in real-world settings. The book discusses theoretical concepts relating to digital strategy, while also using hands-on data analysis in R software to illustrate some fundamental features and pitfalls of working with real-world data. The book starts by clarifying the meaning of relevant concepts (digitization vs digitalization; Machine learning, Artificial Intelligence), presents three leading models of digital transformation, and explains how digitalization has far-reaching implications for how organizations need to be structured. Then the book discusses the skills of a data scientist, and how digital transformation leads to new concerns surrounding ethics. Other themes include data quality, data pre-processing, data visualization, as well as the distinction between prediction and causal inference. Many of these themes are illustrated using R examples, that familiarize the reader with data analysis, using these hands-on experiences to uniquely illustrate some important themes surrounding statistical analysis, and to let readers see for themselves how some popular statistical and data science techniques actually work.

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  Author: creativelivenew1   |   04 January 2026   |   Comments icon: 0

Free Download Data Privacy, Data Property, and Data Sharing:
An Interdisciplinary Perspective for Post-pandemic Transnational Scientific Research

English | 2025 | ISBN: 103272756X | 310 Pages | PDF EPUB (True) | 13 MB

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