Navigating Data Science
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Navigating Data Science
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Author : Babita Singla
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-04-14
Navigating Data Science written by Babita Singla and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Business & Economics categories.
Navigating Data Science: Unleashing the Creative Potential of Artificial Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.
Navigating Data Science In The Age Of Ai
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Author : Babita Singla
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-04-14
Navigating Data Science In The Age Of Ai written by Babita Singla and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Business & Economics categories.
Navigating Data Science in the Age of AI: Exploring Possibilities of Generative Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.
Introduction To Data Science
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Author : Rafael A. Irizarry
language : en
Publisher: CRC Press
Release Date : 2019-11-12
Introduction To Data Science written by Rafael A. Irizarry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Mathematics categories.
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert. A complete solutions manual is available to registered instructors who require the text for a course.
Data Science And Big Data Analytics
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Author : EMC Education Services
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-27
Data Science And Big Data Analytics written by EMC Education Services and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-27 with Computers categories.
Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Guide To Intelligent Data Science
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Author : Michael R. Berthold
language : en
Publisher: Springer
Release Date : 2020-08-15
Guide To Intelligent Data Science written by Michael R. Berthold and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-15 with Computers categories.
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website. This practical and systematic textbook/reference is a “need-to-have” tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a “need to use, need to keep” resource following one's exploration of the subject.
The Data Science Path
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-14
The Data Science Path written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Computers categories.
In the rapidly evolving world of data, "The Data Science Path" emerges as an invaluable guide for aspiring data scientists, business professionals, and anyone seeking to harness the power of data. This comprehensive book provides a structured and accessible roadmap to understanding the fundamentals of data science, empowering you to transform raw data into actionable insights. Embark on a journey through the chapters of this book, and you will: * Gain a solid foundation in the principles and methodologies that underpin data science, enabling you to approach data-driven problems with confidence. * Master the art of data wrangling, learning how to effectively organize, clean, and prepare data for analysis, ensuring its integrity and reliability. * Explore a wide range of data visualization techniques, gaining the ability to communicate complex data insights clearly and persuasively, making them accessible to both technical and non-technical audiences. * Delve into the realm of machine learning algorithms, both supervised and unsupervised, discovering how to build predictive models and extract meaningful patterns from data, unlocking its hidden potential. * Learn about the latest advancements and best practices in data science, staying at the forefront of this dynamic field and gaining the skills necessary to thrive in the data-driven economy. With its comprehensive coverage of essential topics, coupled with real-world examples, hands-on exercises, and thought-provoking case studies, "The Data Science Path" is your indispensable companion on the journey to becoming a proficient data scientist. Its clear and engaging writing style makes complex concepts approachable, empowering you to unlock the full potential of data and drive informed decision-making in a world increasingly shaped by information. If you like this book, write a review!
Data Science
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Author : Xiaohui Cheng
language : en
Publisher: Springer Nature
Release Date : 2019-09-13
Data Science written by Xiaohui Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.
This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.
Maritime Technology And Engineering 5 Volume 1
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Author : Carlos Guedes Soares
language : en
Publisher: CRC Press
Release Date : 2021-07-08
Maritime Technology And Engineering 5 Volume 1 written by Carlos Guedes Soares and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-08 with Technology & Engineering categories.
This set of two volumes comprises the collection of the papers presented at the 5th International Conference on Maritime Technology and Engineering (MARTECH 2020) that was held in Lisbon, Portugal, from 16 to 19 November 2020. The Conference has evolved from the series of biennial national conferences in Portugal, which have become an international event, and which reflect the internationalization of the maritime sector and its activities. MARTECH 2020 is the fifth of this new series of biennial conferences. The set comprises 180 contributions that were reviewed by an International Scientific Committee. Volume 1 is dedicated to maritime transportation, ports and maritime traffic, as well as maritime safety and reliability. It further comprises sections dedicated to ship design, cruise ship design, and to the structural aspects of ship design, such as ultimate strength and composites, subsea structures as pipelines, and to ship building and ship repair.
Handbook Of Trends And Innovations Concerning Library And Information Science
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Author : Barbara Jane Holland
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-06-02
Handbook Of Trends And Innovations Concerning Library And Information Science written by Barbara Jane Holland and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Language Arts & Disciplines categories.
The field of library and information science (LIS) is constantly evolving and adapting to the changing needs and expectations of users, society and technology. This book provides trends and innovations that are emerging in library and information science with a multidisciplinary approach.
Proceedings Of The 44th Annual American Astronautical Society Guidance Navigation And Control Conference 2022
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Author : Matt Sandnas
language : en
Publisher: Springer Nature
Release Date : 2024-03-30
Proceedings Of The 44th Annual American Astronautical Society Guidance Navigation And Control Conference 2022 written by Matt Sandnas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-30 with Technology & Engineering categories.
This conference attracts GN&C specialists from across the globe. The 2022 Conference was the 44th Annual GN&C conference with more than 230 attendees from six different countries with 44 companies and 28 universities represented. The conference presented more than 100 presentations and 16 posters across 18 topics. This year, the planning committee wanted to continue a focus on networking and collaboration hoping to inspire innovation through the intersection of diverse ideas. These proceedings present the relevant topics of the day while keeping our more popular and well-attended sessions as cornerstones from year to year. Several new topics including “Autonomous Control of Multiple Vehicles” and “Results and Experiences from OSIRIS-REx” were directly influenced by advancements in our industry. In the end, the 44th Annual GN&C conference became a timely reflection of the current state of the GN&C ins the space industry. The annual American Astronautical Society Rocky Mountain Guidance, Navigation and Control (GN&C) Conference began 1977 as an informal exchange of ideas and reports of achievements among guidance and control specialists local to the Colorado area. Bud Gates, Don Parsons, and Bob Culp organized the first conference, and began the annual series of meetings the following winter. In March 1978, the First Annual Rocky Mountain Guidance and Control Conference met at Keystone, Colorado. It met there for eighteen years, moving to Breckenridge in 1996 where it has been for over 25 years.