Author: Elizabeth Kernan
Publisher: The Rosen Publishing Group, Inc
ISBN: 9780823964055
Category : Mathematics
Languages : en
Pages : 28

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Book Description
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Author: Robin Nelson
Publisher: Lerner Publications ™
ISBN: 1541506057
Category : Juvenile Nonfiction
Languages : en
Pages : 25

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Book Description
Nan surveys her class to find out what types of pets they have. See how she creates a bar graph to share her results.

Author: Robin Nelson
Publisher: Lerner Publications ™
ISBN: 154150609X
Category : Juvenile Nonfiction
Languages : en
Pages : 25

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Book Description
Dan, Emma, and Ron want to compare how many apples they picked. Look at the picture graph to tell who picked the most.

Author: Robin Nelson
Publisher: Lerner Publications ™
ISBN: 1541506073
Category : Juvenile Nonfiction
Languages : en
Pages : 25

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Book Description
Mr. Hall surveys his class to find out how many people walk, take the bus, or take a car to get to school. Watch as he makes a circle graph with his data.

Author: Loreen Leedy
Publisher: National Geographic Books
ISBN: 0823420299
Category : Juvenile Nonfiction
Languages : en
Pages : 0

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Book Description
Learn everything about graphs, charts, and how to organize information in this fun picture book introduction. Follow two comical creatures as they go graph-crazy! Gonk the frog and his friend Chester have all kinds of questions-- do more of their friends like mud, or not? Who has the biggest feet? What color butterfly is most common? In order to answer these questions, the two friends make all kinds of charts-- and so can you! This funny look at graphs and charts introduces several major ways of organizing information-- bar graphs, pie charts, Venn diagrams, and more. With concrete, easy-to-understand examples and bright, cartoonish illustrations, The Great Graph Contest is a kid-friendly introduction to the basics of data visualization that will have you itching to make your own graphs! An author's note expands on the different kinds of charts pictured in the story, and instructions on making your own graphs and charts are included.

Author: Michael Priestley
Publisher: Teaching Resources
ISBN: 9780439517751
Category : Education
Languages : en
Pages : 64

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Book Description
Each page includes an attention-grabbing graph, chart, or table with questions to help kids read and interpret the data. Includes bar and line graphs, circle graphs, schedules, pictographs, and lots more. A perfect way to build on kids' interests and prepare them for standardized tests.

Author: Takunori Terasawa
Publisher:
ISBN: 9781925608809
Category : Language Arts & Disciplines
Languages : en
Pages : 366

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Book Description
Multiple discourses circulate Japanese society surrounding the relationship between Japanese people and the English language. For example, 'Japanese people are the worst English speakers in Asia, ' 'Japanese women love the English language' and 'learning English leads to increased income and career opportunities.' From a sociological perspective, this book tests the veracity of these discourses, using social statistical data. The aim here is to paint an accurate picture of society to assist the argument for evidence-based policy in English language education, and to challenge the myths about Japanese people and the English language propagated by various interest groups, including the government and the business community. This important book reveals that the English language discourses that exist in Japan today are largely based on misconceptions, pointing to the urgent need to challenge the education policies based on such falsehoods. (Series: Japanese Society Series) [Subject: Japanese Studies, Language Studies, Education, Sociology

Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141

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Book Description
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 36

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Book Description

Author: Quantum Scientific Publishing
Publisher: Quantum Scientific Publishing
ISBN:
Category : Mathematics
Languages : en
Pages : 266

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Book Description
Quantum Scientific Publishing (QSP) is committed to providing publisher-quality, low-cost Science, Technology, Engineering, and Math (STEM) content to teachers, students, and parents around the world. This book is the second of four volumes in Algebra 1, containing lessons 46 - 90. Volume I: Lessons 1 - 45 Volume II: Lessons 46 - 90 Volume III: Lessons 91 - 135 Volume IV: Lessons 136 - 180 This title is part of the QSP Science, Technology, Engineering, and Math Textbook Series.