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N 60
Nielsen, Michael A. , (1974-).
Reinventing discovery : : the new era of networked science / / Michael Nielsen. - First Princeton Science Library paperback edition. - Princeton : : Princeton University Press,, 2020. - 1 online resource (264 pages) : il. - (Princeton science library). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/EEA30297-865A-4327-9831-EE29AC953720. - ISBN 9780691202853 (electronic bk.). - ISBN 0691202850 (electronic book). - ISBN 9780691202846 (e-book). - ISBN 0691202842 (e-book)
Online resource; title from digital title page (viewed on May 06, 2020).
Параллельные издания: Print version: : Nielsen, Michael A., 1974- Reinventing discovery. - Princeton : Princeton University Press, 2020. - ISBN 9780691202853
~РУБ DDC 509
Рубрики: Research--Technological innovations.
Discoveries in science.
Internet.
Information networks.
Information technology.
Electronic data processing.
Recherche--Innovations.
Découvertes scientifiques.
Internet.
Réseaux d'information.
Technologie de l'information.
Internet.
information technology.
SCIENCE--Research & Methodology.
Discoveries in science.
Information networks.
Information technology.
Internet.
Research--Technological innovations.
Аннотация: How the internet and powerful online tools are democratizing and accelerating scientific discoveryReinventing Discovery argues that we are living at the dawn of the most dramatic change in science in more than three hundred years. This change is being driven by powerful cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business, the workplace, or government. But this is the first book about something much more fundamental: how the internet is transforming our collective intelligence and our understanding of the world. From the collaborative mathematicians of the Polymath Project to the amateur astronomers of Galaxy Zoo, Reinventing Discovery tells the exciting story of the unprecedented new era in networked science. It will interest anyone who wants to learn about how the online world is revolutionizing scientific discovery--and why the revolution is just beginning.
N 60
Nielsen, Michael A. , (1974-).
Reinventing discovery : : the new era of networked science / / Michael Nielsen. - First Princeton Science Library paperback edition. - Princeton : : Princeton University Press,, 2020. - 1 online resource (264 pages) : il. - (Princeton science library). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/EEA30297-865A-4327-9831-EE29AC953720. - ISBN 9780691202853 (electronic bk.). - ISBN 0691202850 (electronic book). - ISBN 9780691202846 (e-book). - ISBN 0691202842 (e-book)
Online resource; title from digital title page (viewed on May 06, 2020).
Параллельные издания: Print version: : Nielsen, Michael A., 1974- Reinventing discovery. - Princeton : Princeton University Press, 2020. - ISBN 9780691202853
Рубрики: Research--Technological innovations.
Discoveries in science.
Internet.
Information networks.
Information technology.
Electronic data processing.
Recherche--Innovations.
Découvertes scientifiques.
Internet.
Réseaux d'information.
Technologie de l'information.
Internet.
information technology.
SCIENCE--Research & Methodology.
Discoveries in science.
Information networks.
Information technology.
Internet.
Research--Technological innovations.
Аннотация: How the internet and powerful online tools are democratizing and accelerating scientific discoveryReinventing Discovery argues that we are living at the dawn of the most dramatic change in science in more than three hundred years. This change is being driven by powerful cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business, the workplace, or government. But this is the first book about something much more fundamental: how the internet is transforming our collective intelligence and our understanding of the world. From the collaborative mathematicians of the Polymath Project to the amateur astronomers of Galaxy Zoo, Reinventing Discovery tells the exciting story of the unprecedented new era in networked science. It will interest anyone who wants to learn about how the online world is revolutionizing scientific discovery--and why the revolution is just beginning.
2.
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I 60
Information technology trends for a global and interdisciplinary research community / / Francisco J. García-Peñalvo, editor. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/76930E55-1062-4345-986B-907A7BFC4C59. - ISBN 9781799841579 (ebook). - ISBN 179984157X. - ISBN 9781799841586 (electronic bk.). - ISBN 1799841588 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Information technology trends for a global and interdisciplinary research community. - Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021]. - ISBN 9781799841562
Содержание:
Section 1. COVID-19. Chapter 1. Impact of the COVID-19 on higher education: an experience-based approach ; Chapter 2. Technological spotlights of digital transformation: uses and implications under COVID-19 conditions -- Section 2. Educational technologies. Chapter 3. A review and comparative study of teacher's digital competence frameworks: lessons learned ; Chapter 4. App design and implementation for learning human anatomy through virtual and augmented reality ; Chapter 5. Artificial intelligence in the digicraft educational program ; Chapter 6. Erasmus educational projects on elearning and related methodologies: data from erasmus project results platform ; Chapter 7. Open educational resources for improving the visualization and reasoning cognitive process: a way to learn math ; Chapter 8. Robosteam project: integrating STEAM and computational thinking development by using robotics and physical devices ; Chapter 9. Social media in higher education: restrained potential ; Chapter 10. Virtual reality with horizons architecture for educational innovation -- Section 3. Intensive-data intelligent ecosystems. Chapter 11. Architectural view of an app for walking through a city in a safe way ; Chapter 12. Information technology in the search for employment: artificial intelligence to find the best job ; Chapter 13. Mobile pedestrian navigation and augmented reality in the virtualization of the territory: cities of Salamanca and Santiago de Chile ; Chapter 14. Training on social entrepreneurship: an overview on social seducement project.
~РУБ DDC 006.3/3
Рубрики: Expert systems (Computer science)
Technology--Information services.
Problem solving--Data processing.
Information technology.
Electronic data processing.
Systèmes experts (Informatique)
Technologie--Services d'information.
Technologie de l'information.
information technology.
Expert systems (Computer science)
Information technology
Problem solving--Data processing
Technology--Information services
Аннотация: "This book contains novel and emerging research in the field of information science and technology"--
Доп.точки доступа:
García Peñalvo, Francisco José, (1971-) \editor.\
I 60
Information technology trends for a global and interdisciplinary research community / / Francisco J. García-Peñalvo, editor. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/76930E55-1062-4345-986B-907A7BFC4C59. - ISBN 9781799841579 (ebook). - ISBN 179984157X. - ISBN 9781799841586 (electronic bk.). - ISBN 1799841588 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Information technology trends for a global and interdisciplinary research community. - Hershey, PA : Information Science Reference, an imprint of IGI Global, [2021]. - ISBN 9781799841562
Содержание:
Section 1. COVID-19. Chapter 1. Impact of the COVID-19 on higher education: an experience-based approach ; Chapter 2. Technological spotlights of digital transformation: uses and implications under COVID-19 conditions -- Section 2. Educational technologies. Chapter 3. A review and comparative study of teacher's digital competence frameworks: lessons learned ; Chapter 4. App design and implementation for learning human anatomy through virtual and augmented reality ; Chapter 5. Artificial intelligence in the digicraft educational program ; Chapter 6. Erasmus educational projects on elearning and related methodologies: data from erasmus project results platform ; Chapter 7. Open educational resources for improving the visualization and reasoning cognitive process: a way to learn math ; Chapter 8. Robosteam project: integrating STEAM and computational thinking development by using robotics and physical devices ; Chapter 9. Social media in higher education: restrained potential ; Chapter 10. Virtual reality with horizons architecture for educational innovation -- Section 3. Intensive-data intelligent ecosystems. Chapter 11. Architectural view of an app for walking through a city in a safe way ; Chapter 12. Information technology in the search for employment: artificial intelligence to find the best job ; Chapter 13. Mobile pedestrian navigation and augmented reality in the virtualization of the territory: cities of Salamanca and Santiago de Chile ; Chapter 14. Training on social entrepreneurship: an overview on social seducement project.
Рубрики: Expert systems (Computer science)
Technology--Information services.
Problem solving--Data processing.
Information technology.
Electronic data processing.
Systèmes experts (Informatique)
Technologie--Services d'information.
Technologie de l'information.
information technology.
Expert systems (Computer science)
Information technology
Problem solving--Data processing
Technology--Information services
Аннотация: "This book contains novel and emerging research in the field of information science and technology"--
Доп.точки доступа:
García Peñalvo, Francisco José, (1971-) \editor.\
3.
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S 70
So, Anthony ((Data scientist),).
The data science workshop : : a new, interactive approach to learning data science / / Anthony So [and four others]. - First edition. - Birmingham, UK : : Packt Publishing,, ©2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C283A19B-B41C-4AB2-968E-469D160804BD. - ISBN 9781838983086 (electronic book). - ISBN 1838983082 (electronic book)
Description based on online resource; title from cover (Safari, viewed July 17, 2020).
Параллельные издания: Print version: : So, Anthony. Data Science Workshop : A New, Interactive Approach to Learning Data Science. - Birmingham : Packt Publishing, Limited, ©2020. - ISBN 9781838981266
~РУБ DDC 006.31
Рубрики: Machine learning.
Electronic data processing.
Statistics--Data processing.
Python (Computer program language)
Application software--Development.
Application software--Development
Electronic data processing
Machine learning
Python (Computer program language)
Statistics--Data processing
Аннотация: Cut through the noise and get real results with a step-by-step approach to data science.
S 70
So, Anthony ((Data scientist),).
The data science workshop : : a new, interactive approach to learning data science / / Anthony So [and four others]. - First edition. - Birmingham, UK : : Packt Publishing,, ©2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C283A19B-B41C-4AB2-968E-469D160804BD. - ISBN 9781838983086 (electronic book). - ISBN 1838983082 (electronic book)
Description based on online resource; title from cover (Safari, viewed July 17, 2020).
Параллельные издания: Print version: : So, Anthony. Data Science Workshop : A New, Interactive Approach to Learning Data Science. - Birmingham : Packt Publishing, Limited, ©2020. - ISBN 9781838981266
Рубрики: Machine learning.
Electronic data processing.
Statistics--Data processing.
Python (Computer program language)
Application software--Development.
Application software--Development
Electronic data processing
Machine learning
Python (Computer program language)
Statistics--Data processing
Аннотация: Cut through the noise and get real results with a step-by-step approach to data science.
4.
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P 91
Prevos, Peter,.
Principles of strategic data science : : creating value from data, big and small / / Peter Prevos. - Birmingham, UK : : Packt Publishing Ltd.,, ©2019. - 1 online resource (vi, 85 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FE754D04-C757-4754-8937-3B682727F7BE. - ISBN 9781838985509 (electronic book). - ISBN 1838985506 (electronic book)
Description based on online resource; title from digital title page (viewed on August 25, 2020).
Параллельные издания: Print version: : Prevos, Peter. Principles of Strategic Data Science : Creating Value from Data, Big and Small. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781838985295
Содержание:
Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science
Chapter 3: Strategic Data ScienceIntroduction; The Data Science Continuum; Collecting Data; Descriptive Statistics; Business Reporting; Diagnostics; Qualitative Data Science; Predicting the Future; Traditional Predictive Methods; Machine Learning; Prescribing Action; Toward a Data-Driven Organization; Chapter 4: The Data-Driven Organization; Introduction; People; The Data Science Team; Data Science Consumers; Data Science Culture; Systems; Process; Define; Prepare; Understand; Communicate; The Limitations of Data Science; The Limits of Computation; Ethical Data Science; Chapter 5: References; Index.
~РУБ DDC 005.74
Рубрики: Databases.
Data mining.
Big data.
Electronic data processing.
Big data.
Data mining.
Databases.
Electronic data processing.
Аннотация: Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
P 91
Prevos, Peter,.
Principles of strategic data science : : creating value from data, big and small / / Peter Prevos. - Birmingham, UK : : Packt Publishing Ltd.,, ©2019. - 1 online resource (vi, 85 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FE754D04-C757-4754-8937-3B682727F7BE. - ISBN 9781838985509 (electronic book). - ISBN 1838985506 (electronic book)
Description based on online resource; title from digital title page (viewed on August 25, 2020).
Параллельные издания: Print version: : Prevos, Peter. Principles of Strategic Data Science : Creating Value from Data, Big and Small. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781838985295
Содержание:
Cover; FM; Table of Contents; Preface; Chapter 1: What is Data Science?; Introduction; Data-Driven Organization; The Data Revolution; The Elements of Data Science; Domain Knowledge; Mathematical Knowledge; Computer Science; The Unicorn Data Scientist?; The Purpose of Data Science; Chapter 2: Good Data Science; Introduction; A Data Science Trivium; Useful Data Science; Reality; Data; Information; Knowledge; The Feedback Loop; Sound Data Science; Validity; Reliability; Reproducibility; Governance; Aesthetic Data Science; Visualization; Reports; Best-Practice Data Science
Chapter 3: Strategic Data ScienceIntroduction; The Data Science Continuum; Collecting Data; Descriptive Statistics; Business Reporting; Diagnostics; Qualitative Data Science; Predicting the Future; Traditional Predictive Methods; Machine Learning; Prescribing Action; Toward a Data-Driven Organization; Chapter 4: The Data-Driven Organization; Introduction; People; The Data Science Team; Data Science Consumers; Data Science Culture; Systems; Process; Define; Prepare; Understand; Communicate; The Limitations of Data Science; The Limits of Computation; Ethical Data Science; Chapter 5: References; Index.
Рубрики: Databases.
Data mining.
Big data.
Electronic data processing.
Big data.
Data mining.
Databases.
Electronic data processing.
Аннотация: Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
5.
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N 31
Navlani, Avinash.
Python Data Analysis : : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / / Avinash Navlani, Armando Fandango, Ivan Idris. - Third edition. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (463 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/14561779-CD3D-4BE5-929E-1618BED58A05. - ISBN 9781789953459. - ISBN 1789953456
Description based upon print version of record.
Параллельные издания: Print version: : Navlani, Avinash Python Data Analysis - Third Edition. - Birmingham : Packt Publishing, Limited,c2021
Содержание:
Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing.
~РУБ DDC 005.133
Рубрики: Python (Computer program language)
Electronic data processing.
Machine learning.
Data mining.
COMPUTERS--Data Modeling & Design.
COMPUTERS--Data Processing.
COMPUTERS--Data Visualization.
Data mining.
Electronic data processing.
Machine learning.
Python (Computer program language)
Аннотация: Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.
Доп.точки доступа:
Fandango, Armando.
Idris, Ivan.
N 31
Navlani, Avinash.
Python Data Analysis : : Perform Data Collection, Data Processing, Wrangling, Visualization, and Model Building Using Python / / Avinash Navlani, Armando Fandango, Ivan Idris. - Third edition. - Birmingham : : Packt Publishing, Limited,, 2021. - 1 online resource (463 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/14561779-CD3D-4BE5-929E-1618BED58A05. - ISBN 9781789953459. - ISBN 1789953456
Description based upon print version of record.
Параллельные издания: Print version: : Navlani, Avinash Python Data Analysis - Third Edition. - Birmingham : Packt Publishing, Limited,c2021
Содержание:
Foundation for Data Analysis -- Exploratory Data Analysis and Data Cleaning -- Deep Dive into Machine Learning -- NLP, Image Analytics, and Parallel Computing.
Рубрики: Python (Computer program language)
Electronic data processing.
Machine learning.
Data mining.
COMPUTERS--Data Modeling & Design.
COMPUTERS--Data Processing.
COMPUTERS--Data Visualization.
Data mining.
Electronic data processing.
Machine learning.
Python (Computer program language)
Аннотация: Data analysis enables one to generate value from small and big data by discovering new patterns and trends. Python is a popular tool for analyzing a wide variety of data. This books instructs how to get up and running with using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines.
Доп.точки доступа:
Fandango, Armando.
Idris, Ivan.
6.
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P 45
Perley, Daniel R.
The Home Workplace [[electronic resource] :] : A Builder's Guide to Its Environment, Energy and Economy. / Daniel R. Perley. - Newcastle-upon-Tyne : : Cambridge Scholars Publisher,, 2021. - 1 online resource (301 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A720E45C-5026-44D8-855F-A7A97DEA8D21. - ISBN 1527572315. - ISBN 9781527572317 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Perley, Daniel R. The Home Workplace. - Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2021. - ISBN 9781527570832
~РУБ DDC 658.3123
Рубрики: Telecommuting.
Information technology.
Telecommuting--Environmental aspects.
Information technology--Environmental aspects.
Home offices.
Electronic data processing.
Technologie de l'information.
Technologie de l'information--Aspect de l'environnement.
Bureaux à domicile.
information technology.
corporate headquarters (built work)
Home offices.
Information technology.
Information technology--Environmental aspects.
Telecommuting.
Telecommuting--Environmental aspects.
Аннотация: The recent COVID-19-induced slamming of millions of information workers into the home workplace has made clear that the planning and management foundations for such a mass-migration are anything but solid. Now, the IT industry is scrambling to offer products which do not treat the (remote) worker as a third-class citizen.However, there is another problem, namely the lack of a coherent theory (and documented practice) about what wide-scale workplace decentralization will really do for the individual, the organization, the local community, and ultimately the planet. Indeed, the home workplace ca.
P 45
Perley, Daniel R.
The Home Workplace [[electronic resource] :] : A Builder's Guide to Its Environment, Energy and Economy. / Daniel R. Perley. - Newcastle-upon-Tyne : : Cambridge Scholars Publisher,, 2021. - 1 online resource (301 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A720E45C-5026-44D8-855F-A7A97DEA8D21. - ISBN 1527572315. - ISBN 9781527572317 (electronic bk.)
Description based upon print version of record.
Параллельные издания: Print version: : Perley, Daniel R. The Home Workplace. - Newcastle-upon-Tyne : Cambridge Scholars Publisher,c2021. - ISBN 9781527570832
Рубрики: Telecommuting.
Information technology.
Telecommuting--Environmental aspects.
Information technology--Environmental aspects.
Home offices.
Electronic data processing.
Technologie de l'information.
Technologie de l'information--Aspect de l'environnement.
Bureaux à domicile.
information technology.
corporate headquarters (built work)
Home offices.
Information technology.
Information technology--Environmental aspects.
Telecommuting.
Telecommuting--Environmental aspects.
Аннотация: The recent COVID-19-induced slamming of millions of information workers into the home workplace has made clear that the planning and management foundations for such a mass-migration are anything but solid. Now, the IT industry is scrambling to offer products which do not treat the (remote) worker as a third-class citizen.However, there is another problem, namely the lack of a coherent theory (and documented practice) about what wide-scale workplace decentralization will really do for the individual, the organization, the local community, and ultimately the planet. Indeed, the home workplace ca.
7.
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J 16
Jafari, Roy.
Hands-On Data Preprocessing in Python : : Learn How to Effectively Prepare Data for Successful Data Analytics. / Roy. Jafari. - Birmingham : : Packt Publishing, Limited,, 2022. - 1 online resource (602 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8523FC79-D74D-4BD1-A333-17AD10D886F8. - ISBN 9781801079952 (electronic book). - ISBN 1801079951 (electronic book)
Параллельные издания: Print version: : Jafari, Roy. Hands-On Data Preprocessing in Python. - Birmingham : Packt Publishing, Limited, ©2022
~РУБ DDC 005.13/3
Рубрики: Python (Computer program language)
Electronic data processing.
Python (Langage de programmation)
Electronic data processing.
Python (Computer program language)
J 16
Jafari, Roy.
Hands-On Data Preprocessing in Python : : Learn How to Effectively Prepare Data for Successful Data Analytics. / Roy. Jafari. - Birmingham : : Packt Publishing, Limited,, 2022. - 1 online resource (602 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8523FC79-D74D-4BD1-A333-17AD10D886F8. - ISBN 9781801079952 (electronic book). - ISBN 1801079951 (electronic book)
Параллельные издания: Print version: : Jafari, Roy. Hands-On Data Preprocessing in Python. - Birmingham : Packt Publishing, Limited, ©2022
Рубрики: Python (Computer program language)
Electronic data processing.
Python (Langage de programmation)
Electronic data processing.
Python (Computer program language)
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