Data Science Building Blocks
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Building Blocks For Iot Analytics Internet Of Things Analytics
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Author : John Soldatos
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Building Blocks For Iot Analytics Internet Of Things Analytics written by John Soldatos and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Science categories.
Internet-of-Things (IoT) Analytics are an integral element of most IoT applications, as it provides the means to extract knowledge, drive actuation services and optimize decision making. IoT analytics will be a major contributor to IoT business value in the coming years, as it will enable organizations to process and fully leverage large amounts of IoT data, which are nowadays largely underutilized. The Building Blocks of IoT Analytics is devoted to the presentation the main technology building blocks that comprise advanced IoT analytics systems. It introduces IoT analytics as a special case of BigData analytics and accordingly presents leading edge technologies that can be deployed in order to successfully confront the main challenges of IoT analytics applications. Special emphasis is paid in the presentation of technologies for IoT streaming and semantic interoperability across diverse IoT streams. Furthermore, the role of cloud computing and BigData technologies in IoT analytics are presented, along with practical tools for implementing, deploying and operating non-trivial IoT applications. Along with the main building blocks of IoT analytics systems and applications, the book presents a series of practical applications, which illustrate the use of these technologies in the scope of pragmatic applications. Technical topics discussed in the book include: Cloud Computing and BigData for IoT analyticsSearching the Internet of ThingsDevelopment Tools for IoT Analytics ApplicationsIoT Analytics-as-a-ServiceSemantic Modelling and Reasoning for IoT AnalyticsIoT analytics for Smart BuildingsIoT analytics for Smart CitiesOperationalization of IoT analyticsEthical aspects of IoT analyticsThis book contains both research oriented and applied articles on IoT analytics, including several articles reflecting work undertaken in the scope of recent European Commission funded projects in the scope of the FP7 and H2020 programmes. These articles present results of these projects on IoT analytics platforms and applications. Even though several articles have been contributed by different authors, they are structured in a well thought order that facilitates the reader either to follow the evolution of the book or to focus on specific topics depending on his/her background and interest in IoT and IoT analytics technologies. The compilation of these articles in this edited volume has been largely motivated by the close collaboration of the co-authors in the scope of working groups and IoT events organized by the Internet-of-Things Research Cluster (IERC), which is currently a part of EU's Alliance for Internet of Things Innovation (AIOTI).
Exploring The Building Blocks Of Science Book K Activity Book
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Author : Rebecca W. Keller
language : en
Publisher: Real Science-4-Kids
Release Date : 2014-07-10
Exploring The Building Blocks Of Science Book K Activity Book written by Rebecca W. Keller and has been published by Real Science-4-Kids this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-10 with categories.
Introduces young learners to chemistry, biology, physics, geology, and astronomy. Includes coloring, drawing, making observations, doing simple experiments, answering questions, and more. Scientific concepts such as atoms, molecules, characteristics of living things, laws of motion, what Earth is made of, and the moon and planets are presented.
Data Science Building Blocks
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Author : Malaya Rout
language : en
Publisher: Notion Press
Release Date : 2020-03-13
Data Science Building Blocks written by Malaya Rout and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-13 with categories.
Data Science Building Blocks is a result of the authors' many years of industry experience in data science and their various interactions with learners whose conversations also figure in this content. The book is aimed at familiarising aspirants and beginners with the basics of data science. These building blocks will help you build your analytics dream house. When it is done, don't forget to invite us and share your success story over a cup of coffee.
Data Science Building Blocks Analytics Starter Kit
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Author :
language : en
Publisher: Notion Press
Release Date : 2020-05-04
Data Science Building Blocks Analytics Starter Kit written by and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-04 with Computers categories.
Data Science Building Blocks is a result of the authors' many years of industry experience in data science and their various interactions with learners whose conversations also figure in this content. The book is aimed at familiarising aspirants and beginners with the basics of data science. These building blocks will help you build your analytics dream house. When it is done, don't forget to invite us and share your success story over a cup of coffee.
Exploring The Building Blocks Of Science Book 1 Student Textbook Hardcover
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Author : Rebecca W. Keller
language : en
Publisher: Real Science-4-Kids
Release Date : 2014-03-01
Exploring The Building Blocks Of Science Book 1 Student Textbook Hardcover written by Rebecca W. Keller and has been published by Real Science-4-Kids this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-01 with categories.
Introduce early learners to real science with the Exploring the Building Blocks of Science Book 1 Student Textbook. Foundational scientific concepts and terminology are presented clearly and in a manner that's easy for kids to understand. Using this book gives kids a solid base on which to build a further study of science. This year-long curriculum contains four chapters of each of five scientific disciplines: chemistry, biology, physics, geology, and astronomy, as well as an introduction to the material covered and a concluding chapter for a total of 22 chapters. The many graphics in this full color textbook reinforce the concepts presented and make the book fun for kids and teachers alike to read. This Student Textbook is accompanied by Exploring the Building Blocks of Science Book 1 Laboratory Notebook (experiments) and Exploring the Building Blocks of Science Book 1 Teacher's Manual. Other supplemental materials are available at www.realscience4kids.com.
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.
Exploring The Building Blocks Of Science Book 5 Student Textbook Softcover
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Author : Rebecca W. Keller
language : en
Publisher: Real Science-4-Kids
Release Date : 2014-08-01
Exploring The Building Blocks Of Science Book 5 Student Textbook Softcover written by Rebecca W. Keller and has been published by Real Science-4-Kids this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with categories.
Introduce students to real science with Exploring the Building Blocks of Science Book 5 Student Textbook. Foundational scientific concepts and terminology are presented clearly and in a manner that's easy for kids to understand. Using this book gives kids a solid base on which to build a further study of science. This year-long curriculum contains four chapters each of five scientific disciplines: chemistry, biology, physics, geology, and astronomy, as well as an introduction to the material covered and a concluding chapter, for a total of 22 chapters. The many graphics in this full color textbook reinforce the concepts presented and make the book fun for kids and teachers alike to read. This Student Textbook is accompanied by Exploring the Building Blocks of Science Book 5 Laboratory Notebook (experiments) and Exploring the Building Blocks of Science Book 5 Teacher's Manual. Other supplemental materials are available at www.realscience4kids.com.
Algorithms The Building Blocks Of Computer Programming
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Author : Daniel R. Faust
language : en
Publisher: The Rosen Publishing Group, Inc
Release Date : 2018-07-15
Algorithms The Building Blocks Of Computer Programming written by Daniel R. Faust and has been published by The Rosen Publishing Group, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-15 with Juvenile Nonfiction categories.
Algorithms might sound like a complicated tech term, but don't be intimidated, people actually use them every day. Using accessible language and full-color photographs, this book simplifies algorithms in an easy-to-understand way. Readers will be amazed to learn that an algorithm is just a set of steps for computers to follow to get things done. STEM topics from the Next Generation Science Standards are emphasized throughout the text. Sidebars featuring key terms help readers grow their tech vocabulary, and fact boxes provide additional opportunities to learn.
Data Science In Education Using R
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Author : Ryan A. Estrellado
language : en
Publisher: Routledge
Release Date : 2020-10-26
Data Science In Education Using R written by Ryan A. Estrellado and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-26 with Education categories.
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Practical Web Scraping For Data Science
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Author : Seppe vanden Broucke
language : en
Publisher: Apress
Release Date : 2018-04-18
Practical Web Scraping For Data Science written by Seppe vanden Broucke and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-18 with Computers categories.
This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. What You'll Learn Leverage well-established best practices and commonly-used Python packages Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques Understand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.