Tag: Data

Data-Centric Security in Software Defined Networks (SDN)


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English | 2024 | ISBN: 3031555163 | 137 Pages | PDF EPUB (True) | 9 MB
The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aimto provide defence under the assumption that the boundary protections will be breached.

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Data-Centric Artificial Intelligence for Multidisciplinary Applications


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English | 2024 | ISBN: 1032610069 | 309 Pages | PDF (True) | 19 MB
This book explores the need for a data‑centric AI approach and its application in the multidisciplinary domain, compared to a model‑centric approach. It examines the methodologies for data‑centric approaches, the use of data‑centric approaches in different domains, the need for edge AI and how it differs from cloud‑based AI. It discusses the new category of AI technology, "data‑centric AI" (DCAI), which focuses on comprehending, utilizing, and reaching conclusions from data. By adding machine learning and big data analytics tools, data‑centric AI modifies this by enabling it to learn from data rather than depending on algorithms. It can therefore make wiser choices and deliver more precise outcomes. Additionally, it has the potential to be significantly more scalable than conventional AI methods.

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Data Structures and Algorithms in C++


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English | 2018 | ISBN: 1683920848 | 283 Pages | PDF EPUB (True) | 27 MB
This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Suitable for an introductory data structures course or self-study, this book is written from the ground up in C++ (not translated from a Java-based text), and uses features of the C++ Standard Template Library to illustrate important concepts. A unique feature of the text is its use of literate programming techniques (originally developed by Donald Knuth) to present the sample code in a way that keeps the code from overwhelming the accompanying explanations. Source code samples from the book are available on the companion files(available for downloading from the ✅Publisher by writing to [email protected]). This book is suitable for an undergraduate data structures course using C++ or for developers needing review.

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Data Storytelling with Generative AI using Python and Altair (MEAP V06)


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English | 2024 | ISBN: 9781633437920 | 425 Pages | PDF EPUB | 51 MB
After you’ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python’s Altair library and generative AI tools like Copilot and ChatGPT, it’s never been easier to create intuitive data presentations.

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Data Storytelling with Generative AI (MEAP V05)


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English | 2023 | ISBN: 9781633437920 | 313 pages | MOBI | 6.25 Mb
Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.

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Data Science and Intelligent Systems (2024)


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English | EPUB | 2022 | 1073 Pages | ISBN : 3030903206 | 146.6 MB
This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included.

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Data Science Fundamentals with R, Python, and Open Data (EPUB)


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English | 2024 | ISBN: 1394213247 | 461 Pages | EPUB | 7.3 MB
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate.

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