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Teaches young readers about graphs by using a story about children who visit giraffes in a zoo.
Book Synopsis Giraffe Graphs by : Melissa Stewart
Download or read book Giraffe Graphs written by Melissa Stewart and published by Children's Press(CT). This book was released on 2007 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches young readers about graphs by using a story about children who visit giraffes in a zoo.
Giraffes are the tallest animals on land. It's easy to see how tall they are by comparing heights on a graph. This book introduces readers to several kinds of graphs, including bar graphs, pie graphs, and tally charts. While learning information about these towering African animals, readers will practice using graphs and charts to answer questions. Animals are an entertaining way to show how math is part of the real world.
Book Synopsis Graphs with Giraffes by : E. T. Weingarten
Download or read book Graphs with Giraffes written by E. T. Weingarten and published by Gareth Stevens Publishing LLLP. This book was released on 2013-08-01 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Giraffes are the tallest animals on land. It's easy to see how tall they are by comparing heights on a graph. This book introduces readers to several kinds of graphs, including bar graphs, pie graphs, and tally charts. While learning information about these towering African animals, readers will practice using graphs and charts to answer questions. Animals are an entertaining way to show how math is part of the real world.
If you like the popular?Teaching Science Through Trade Books? columns in NSTA?s journal Science and Children, or if you?ve become enamored of the award-winning Picture-Perfect Science Lessons series, you?ll love this new collection. It?s based on the same time-saving concept: By using children?s books to pique students? interest, you can combine science teaching with reading instruction in an engaging and effective way.
Book Synopsis Teaching Science Through Trade Books by : Christine Anne Royce
Download or read book Teaching Science Through Trade Books written by Christine Anne Royce and published by NSTA Press. This book was released on 2012 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you like the popular?Teaching Science Through Trade Books? columns in NSTA?s journal Science and Children, or if you?ve become enamored of the award-winning Picture-Perfect Science Lessons series, you?ll love this new collection. It?s based on the same time-saving concept: By using children?s books to pique students? interest, you can combine science teaching with reading instruction in an engaging and effective way.
Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects. About This Book A quick way to get started with Spark – and reap the rewards From analytics to engineering your big data architecture, we've got it covered Bring your Scala and Java knowledge – and put it to work on new and exciting problems Who This Book Is For This book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It's recommended that you have experience in dealing and working with big data and a strong interest in data science. What You Will Learn Install and set up Spark in your cluster Prototype distributed applications with Spark's interactive shell Perform data wrangling using the new DataFrame APIs Get to know the different ways to interact with Spark's distributed representation of data (RDDs) Query Spark with a SQL-like query syntax See how Spark works with big data Implement machine learning systems with highly scalable algorithms Use R, the popular statistical language, to work with Spark Apply interesting graph algorithms and graph processing with GraphX In Detail When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it's unsurprising that it's becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we'll show you how to get set up with Spark with minimum fuss. You'll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we'll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that's not enough, you'll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We'll also make sure you're confident and prepared for graph processing, as you learn more about the GraphX API. Style and approach This book is a basic, step-by-step tutorial that will help you take advantage of all that Spark has to offer.
Book Synopsis Fast Data Processing with Spark 2 by : Krishna Sankar
Download or read book Fast Data Processing with Spark 2 written by Krishna Sankar and published by Packt Publishing Ltd. This book was released on 2016-10-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects. About This Book A quick way to get started with Spark – and reap the rewards From analytics to engineering your big data architecture, we've got it covered Bring your Scala and Java knowledge – and put it to work on new and exciting problems Who This Book Is For This book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It's recommended that you have experience in dealing and working with big data and a strong interest in data science. What You Will Learn Install and set up Spark in your cluster Prototype distributed applications with Spark's interactive shell Perform data wrangling using the new DataFrame APIs Get to know the different ways to interact with Spark's distributed representation of data (RDDs) Query Spark with a SQL-like query syntax See how Spark works with big data Implement machine learning systems with highly scalable algorithms Use R, the popular statistical language, to work with Spark Apply interesting graph algorithms and graph processing with GraphX In Detail When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it's unsurprising that it's becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we'll show you how to get set up with Spark with minimum fuss. You'll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we'll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that's not enough, you'll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We'll also make sure you're confident and prepared for graph processing, as you learn more about the GraphX API. Style and approach This book is a basic, step-by-step tutorial that will help you take advantage of all that Spark has to offer.
This monograph discusses decision making methods under bipolar fuzzy graphical models with the aim of overcoming the lack of mathematical approach towards bipolar information—positive and negative. It investigates the properties of bipolar fuzzy graphs, their distance functions, and concept of their isomorphism. It presents certain notions, including irregular bipolar fuzzy graphs, domination in bipolar fuzzy graphs, bipolar fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures. This book also presents the applications of mentioned concepts to real-world problems in areas of product manufacturing, international relations, psychology, global terrorism and more, making it valuable for researchers, computer scientists, social scientists and alike.
Book Synopsis Graphs for the Analysis of Bipolar Fuzzy Information by : Muhammad Akram
Download or read book Graphs for the Analysis of Bipolar Fuzzy Information written by Muhammad Akram and published by Springer Nature. This book was released on 2020-11-02 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph discusses decision making methods under bipolar fuzzy graphical models with the aim of overcoming the lack of mathematical approach towards bipolar information—positive and negative. It investigates the properties of bipolar fuzzy graphs, their distance functions, and concept of their isomorphism. It presents certain notions, including irregular bipolar fuzzy graphs, domination in bipolar fuzzy graphs, bipolar fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures. This book also presents the applications of mentioned concepts to real-world problems in areas of product manufacturing, international relations, psychology, global terrorism and more, making it valuable for researchers, computer scientists, social scientists and alike.
Presents over twenty reproducible activity sheets designed to help students in grades four through eight hone their skills in interpreting and creating graphs, charts, maps, and tables.
Book Synopsis Great Graphs, Charts and Tables That Build Real-Life Math Skills by : Denise Kiernan
Download or read book Great Graphs, Charts and Tables That Build Real-Life Math Skills written by Denise Kiernan and published by Scholastic Inc.. This book was released on 2001-08 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents over twenty reproducible activity sheets designed to help students in grades four through eight hone their skills in interpreting and creating graphs, charts, maps, and tables.
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Book Synopsis Image Processing and Analysis with Graphs by : Olivier Lezoray
Download or read book Image Processing and Analysis with Graphs written by Olivier Lezoray and published by CRC Press. This book was released on 2017-07-12 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Provides a comprehensive overview of one of nature's most engaging mammals Covers fossil history, taxonomy, genetics, physiology, biomechanics, behavior, ecology, and conservation Includes genetic analysis of five of the six subspecies of modern giraffes Includes giraffe network studies from Laikipia Kenya, Etosha National Park, Namibia andSamburu National Reserve, Kenya
Book Synopsis The Giraffe by : Bryan Shorrocks
Download or read book The Giraffe written by Bryan Shorrocks and published by John Wiley & Sons. This book was released on 2016-08-09 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive overview of one of nature's most engaging mammals Covers fossil history, taxonomy, genetics, physiology, biomechanics, behavior, ecology, and conservation Includes genetic analysis of five of the six subspecies of modern giraffes Includes giraffe network studies from Laikipia Kenya, Etosha National Park, Namibia andSamburu National Reserve, Kenya
PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.
Book Synopsis PC Mag by :
Download or read book PC Mag written by and published by . This book was released on 1987-03-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.
"Uses an African safari as a framing device to teach data collection and organization"--Provided by publisher.
Book Synopsis Safari Adventure by : Deborah Underwood
Download or read book Safari Adventure written by Deborah Underwood and published by Capstone Classroom. This book was released on 2008 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Uses an African safari as a framing device to teach data collection and organization"--Provided by publisher.
