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ISBN: 9780763887391
Category :
Languages : en
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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: Tom Nicholas
Publisher: Harvard University Press
ISBN: 0674988000
Category : Business & Economics
Languages : en
Pages : 401
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“An incisive history of the venture-capital industry.” —New Yorker “An excellent and original economic history of venture capital.” —Tyler Cowen, Marginal Revolution “A detailed, fact-filled account of America’s most celebrated moneymen.” —New Republic “Extremely interesting, readable, and informative...Tom Nicholas tells you most everything you ever wanted to know about the history of venture capital, from the financing of the whaling industry to the present multibillion-dollar venture funds.” —Arthur Rock “In principle, venture capital is where the ordinarily conservative, cynical domain of big money touches dreamy, long-shot enterprise. In practice, it has become the distinguishing big-business engine of our time...[A] first-rate history.” —New Yorker VC tells the riveting story of how the venture capital industry arose from America’s longstanding identification with entrepreneurship and risk-taking. Whether the venture is a whaling voyage setting sail from New Bedford or the latest Silicon Valley startup, VC is a state of mind as much as a way of doing business, exemplified by an appetite for seeking extreme financial rewards, a tolerance for failure and experimentation, and a faith in the promise of innovation to generate new wealth. Tom Nicholas’s authoritative history takes us on a roller coaster of entrepreneurial successes and setbacks. It describes how iconic firms like Kleiner Perkins and Sequoia invested in Genentech and Apple even as it tells the larger story of VC’s birth and evolution, revealing along the way why venture capital is such a quintessentially American institution—one that has proven difficult to recreate elsewhere.
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
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Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author:
Publisher:
ISBN: 9780763887391
Category :
Languages : en
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Author: Nita Rutkosky
Publisher:
ISBN: 9780763887186
Category :
Languages : en
Pages :
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Book Description
The Benchmark Series is designed to develop a mastery skill level in Microsoft Word, Excel, Access, and PowerPoint. Its graduated, three-level instructional approach moves students to analyse, synthesise, and evaluate information. Multi-part, projects-based exercises build skill mastery with activities that require independent problem solving.
Author: Nita Rutkosky
Publisher:
ISBN: 9780763887377
Category :
Languages : en
Pages :
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Designed for students who want to learn how to use the powerful word processing program to create professional looking documents for school, work, and personal communication needs.
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ISBN: 9780763887230
Category :
Languages : en
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Author:
Publisher:
ISBN: 9780763887414
Category :
Languages : en
Pages :
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Author: Nita Rutkosky
Publisher:
ISBN: 9780763887148
Category :
Languages : en
Pages :
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Book Description
The Benchmark Series is designed to develop a mastery skill level in Microsoft Word, Excel, Access, and PowerPoint. Its graduated, three-level instructional approach moves students to analyse, synthesise, and evaluate information. Multi-part, projects-based exercises build skill mastery with activities that require independent problem solving.
Author: Elisa H. Barney Smith
Publisher: Springer Nature
ISBN: 3031705467
Category :
Languages : en
Pages : 472
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Book Description
