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Giraffe Graphs
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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.
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.
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.
Download or read book The Giraffe written by Bryan Shorrocks and published by John Wiley & Sons. This book was released on 2016-08-08 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
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.
Book Synopsis Grokking Data Structures by : Marcello La Rocca
Download or read book Grokking Data Structures written by Marcello La Rocca and published by Simon and Schuster. This book was released on 2024-08-06 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day. Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You’ll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you’ll learn how to: • Understand the most important and widely used data structures • Identify use cases where data structures make the biggest difference • Pick the best data structure solution for a coding challenge • Understand the tradeoffs of data structures and avoid catastrophes • Implement basic data collections like arrays, linked lists, stacks, and priority queues • Use trees and binary search trees (BSTs) to organize data • Use graphs to model relationships and learn about complex data • Efficiently search by key using hash tables and hashing functions • Reason about time and memory requirements of operations on data structures Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners, and you won’t need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. Foreword by Daniel Zingaro. About the technology Data structures are vital for shaping and handling your data organization. They’re also an important part of most IT job interviews! Whether you’re new to data structures or just dusting off what you learned in school, this book will get you up to speed fast with no advanced math, abstract theory, or complicated proofs. About the book Grokking Data Structures introduces common and useful data structures that every developer needs to know. Real-world examples show you how data structures are used in practice, from making your searches faster to handling triage in an emergency room. You’ll love the fun cartoons, insightful stories, and useful Python code samples that make data structures come alive. And unlike jargon-laden academic texts, this book is easy-to-read and practical. What's inside • Fast searches using hash tables • Trees and binary search trees (BSTs) to organize data • Use graphs to model complex data • The best data structures for a coding challenge About the reader For readers who know the basics of Python. A perfect companion to Grokking Algorithms! About the author Marcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple. The technical editor on this book was Beau Carnes. Table of Contents 1 Introducing data structures: Why you should learn about data structures 2 Static arrays: Building your first data structure 3 Sorted arrays: Searching faster, at a price 4 Big-O notation: A framework for measuring algorithm efficiency 5 Dynamic arrays: Handling dynamically sized datasets 6 Linked lists: A flexible dynamic collection 7 Abstract data types: Designing the simplest container—the bag 8 Stacks: Piling up data before processing it 9 Queues: Keeping information in the same order as it arrives 10 Priority queues and heaps: Handling data according to its priority 11 Binary search trees: A balanced container 12 Dictionaries and hash tables: How to build and use associative arrays 13 Graphs: Learning how to model complex relationships in data
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.
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.
Book Synopsis Giraffe Extinction by : Tanya Anderson
Download or read book Giraffe Extinction written by Tanya Anderson and published by Twenty-First Century Books ™. This book was released on 2019-10-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quietly, without most people noticing, the population of giraffes in the wild has decreased by nearly 40 percent since 1985. Giraffes have disappeared entirely from seven countries where they used to live. Researchers believe fewer than 98,000 exist in the wild—fewer even than endangered African elephants. In 2016, the International Union for the Conservation of Nature added giraffes to the organization's Red List of Threatened Species. What is causing their disappearance? Overpopulation of humans in giraffe habitats and illegal poaching. Learn about giraffes' physical characteristics, habitats, and life cycles; examine the dangers they face from humans and climate change; and meet the scientists working to save these gentle giants using technology and conservation efforts.
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.
Book Synopsis Let's Make a Bar Graph by : Robin Nelson
Download or read book Let's Make a Bar Graph written by Robin Nelson and published by Lerner Publications ™. This book was released on 2017-08-01 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nan surveys her class to find out what types of pets they have. See how she creates a bar graph to share her results.
Download or read book Giraffe written by Edgar Williams and published by Reaktion Books. This book was released on 2011-01-15 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Their extraordinary long necks, distinctive camouflage, graceful movements, and friendly nature have made giraffes one of the most fascinating and beloved animals on the planet. But while giraffes once roamed the Great Plains of Africa in huge herds, their numbers have greatly diminished, and they are now entirely dependent on humanity for their survival. In Giraffe, Edgar Williams explores not only the biology of the tallest animals on earth, but also their impact on human history—including in ancient Egypt, where giraffes were kept as exotic pets; the Middle Ages, when giraffes were considered mythical beasts as improbable and mysterious as the dragon; and the Victorian era, in which giraffe hunting was considered an exhilarating sport. Giraffe is the first book to provide a comprehensive, twenty-first-century view of the giraffe in art, literature, film, and popular culture, as well as its natural history from prehistory to modern times. With new insights into the giraffe’s genetics and evolution, this book will appeal to those interested in the giraffe’s unique biology and to anyone who admires the majestic giraffe.
Book Synopsis Random Graphs for Statistical Pattern Recognition by : David J. Marchette
Download or read book Random Graphs for Statistical Pattern Recognition written by David J. Marchette and published by John Wiley & Sons. This book was released on 2005-02-11 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition. Both topics are of vital interest to researchers in various mathematical and statistical fields and have never before been treated together in one book. The use of data random graphs in pattern recognition in clustering and classification is discussed, and the applications for both disciplines are enhanced with new tools for the statistical pattern recognition community. New and interesting applications for random graph users are also introduced. This important addition to statistical literature features: Information that previously has been available only through scattered journal articles Practical tools and techniques for a wide range of real-world applications New perspectives on the relationship between pattern recognition and computational geometry Numerous experimental problems to encourage practical applications With its comprehensive coverage of two timely fields, enhanced with many references and real-world examples, Random Graphs for Statistical Pattern Recognition is a valuable resource for industry professionals and students alike.
Book Synopsis Lions and Tigers and Graphs! Oh My! by : Jennifer M. Besel
Download or read book Lions and Tigers and Graphs! Oh My! written by Jennifer M. Besel and published by Capstone Classroom. This book was released on 2010-12 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to chart a path through the zoo? Join Graph Giraffe as he uses graphs to learn more about the animals at the zoo. Find out how graphs help you see information in new ways.
Book Synopsis m−Polar Fuzzy Graphs by : Muhammad Akram
Download or read book m−Polar Fuzzy Graphs written by Muhammad Akram and published by Springer. This book was released on 2018-11-13 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with an introduction to m-polar fuzzy graphs and m-polar fuzzy hypergraphs, covering both theories and applications. A special emphasis is given to m-polar fuzzy graphs at the aim of filling a gap in the literature, namely the absence of a mathematical approach to analyze multi-index, multipolar, and multi-attribute data. The book describes metrics and labeling in m-polar graphs, m-polar fuzzy matroids. It also discusses in detail important applications in decision-making problems and imaging processing. The book is expected to stimulate the curiosity of mathematics, computer scientists, and social scientists alike, and to provide both students and researchers with the necessary knowledge to understand and apply m−polar fuzzy graph theory.
Book Synopsis Jumpstarters for Math, Grades 4 - 8 by : Barden
Download or read book Jumpstarters for Math, Grades 4 - 8 written by Barden and published by Mark Twain Media. This book was released on 2008-08-28 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make math matter to students in grades 4 and up using Jumpstarters for Math: Short Daily Warm-Ups for the Classroom. This 48-page resource covers basic math skills, multistep equations, fractions, algebra, tables and graphs, decimals, money, and measurement. The book includes five warm-ups per reproducible page, answer keys, and suggestions for use.
Book Synopsis Complex Networks and Their Applications XI by : Hocine Cherifi
Download or read book Complex Networks and Their Applications XI written by Hocine Cherifi and published by Springer Nature. This book was released on 2023-01-25 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.
