Data Science Foundations

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Data Science Foundations

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Author : Fionn Murtagh
language : en
Publisher: CRC Press
Release Date : 2017-09-22

Data Science Foundations written by Fionn Murtagh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-22 with Computers categories.

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

Data Science Foundations And Applications

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Author : Xintao Wu
language : en
Publisher: Springer Nature
Release Date : 2025-07-21

Data Science Foundations And Applications written by Xintao Wu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Computers categories.

The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10–13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.

Data Science Foundations Tools And Techniques

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Author : Michael Freeman
language : en
Publisher: Addison-Wesley Professional
Release Date : 2018-11-23

Data Science Foundations Tools And Techniques written by Michael Freeman and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Computers categories.

The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you’ve uncovered. Step by step, you’ll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything’s focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to Install your complete data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format, explore, and restructure data for successful analysis Interact with databases and web APIs Master key principles for visualizing data accurately and intuitively Produce engaging, interactive visualizations with ggplot and other R packages Transform analyses into sharable documents and sites with R Markdown Create interactive web data science applications with Shiny Collaborate smoothly as part of a data science team Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Data Science Foundations And Hands On Experience

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Author : Fatwa Ramdani
language : en
Publisher: Springer Nature
Release Date : 2025-06-18

Data Science Foundations And Hands On Experience written by Fatwa Ramdani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.

This book will take readers from foundational concepts to practical applications, enabling them to transform raw data into meaningful insights. It covers key skills such as data collection, cleaning, organization, exploration, analysis, and impactful presentation—core competencies for navigating today’s data-rich landscape. Each chapter is designed to build both theoretical understanding and hands-on expertise. The book’s unique dual-approach structure introduces foundational data science concepts, followed by exercises in RStudio using real-world datasets from social fields. This blend of theory and practice ensures readers grasp the ‘how’ and the ‘why’ behind data-driven research, making it ideal for students, researchers, and professionals seeking to enhance their analytical capabilities. Spatial data analysis stands out as one of the most unique in this book because it focuses on spatial data, a topic rarely covered in data science references. While there are many resources on data science, few explore the unique aspects of spatial data. Nowadays, most data includes location information, which can greatly enhance data science and decision-making. The final chapter will discuss critical topics in data ethics and reproducibility, encouraging readers to think responsibly about data use. By the end, readers will gain not only technical skills but also ethical awareness, empowering them to conduct rigorous, reliable, and socially conscious research. No prior experience with data science is required—just an eagerness to explore the power of data in understanding and shaping society. This textbook is suitable for adoption in both undergraduate and graduate classes. The book will help students build a solid theoretical foundation in data science while gaining hands-on experience with RStudio.

Foundations Of Data Science

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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23

Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.

Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.

National Science Foundation

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Author : United States. Congress. House. Committee on Science, Space, and Technology (2011- ). Subcommittee on Research and Technology
language : en
Publisher:
Release Date : 2017

National Science Foundation written by United States. Congress. House. Committee on Science, Space, and Technology (2011- ). Subcommittee on Research and Technology and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Federal aid to research categories.

Discrete Mathematics For Computer Science Foundations

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Author : Dr. Shivaswamy P. M.
language : en
Publisher: RK Publication
Release Date : 2025-02-14

Discrete Mathematics For Computer Science Foundations written by Dr. Shivaswamy P. M. and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-14 with Mathematics categories.

Electric and Hybrid Vehicles: Design Fundamentals introduction to the principles, design considerations, and engineering aspects of electric and hybrid vehicles. Key topics such as powertrain architectures, energy storage systems, motor technologies, and control strategies, the offers insights into modern advancements and challenges in sustainable transportation. It explores efficiency optimization, environmental impact, and future trends in vehicle electrification. Designed for students, researchers, and engineers, this book serves as a foundational resource for understanding the evolving landscape of electric and hybrid vehicle technologies.

Annual Report Of The National Science Foundation

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Author : National Science Foundation (U.S.)
language : en
Publisher:
Release Date :

Annual Report Of The National Science Foundation written by National Science Foundation (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with Research categories.

National Science Foundation Reauthorization

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Author : United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Research and Science Education
language : en
Publisher:
Release Date : 2007

National Science Foundation Reauthorization written by United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Research and Science Education and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Federal aid to research categories.

Scientific Foundations Of Digital Governance And Transformation

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Author : Yannis Charalabidis
language : en
Publisher: Springer Nature
Release Date : 2022-03-02

Scientific Foundations Of Digital Governance And Transformation written by Yannis Charalabidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Law categories.

This book provides the latest research advancements and findings for the scientific systematization of knowledge regarding digital governance and transformation, such as core concepts, foundational principles, theories, methodologies, architectures, assessment frameworks and future directions. It brings forward the ingredients of this new domain, proposing its needed formal and systematic tools, exploring its relation with neighbouring scientific domains and finally prescribing the next steps for laying the foundations of a new science. The book is structured into three main areas. The first section focuses on contributions towards the purpose, ingredients and structure of the scientific foundations of digital transformation in the public sector. The second looks at the identification and description of domain's scientific problems with a view to stabilizing research products, assessment methods and tools in a reusable, extendable and sustainable manner. The third envisions a pathway for future research to tackle broader governance problems via the applications of information and communication technologies in combination with innovative approaches from neighbouring scientific domains. Contributing to the analysis of the scientific perspectives of digital governance and digital transformation, this book will be an indispensable tool for students, researchers and practitioners interested in digital governance, digital transformation, information systems, as well as ICT industry experts and policymakers charged with the design, deployment and implementation of public sector information systems.