BENCHMARK SERIES PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download BENCHMARK SERIES PDF full book. Access full book title BENCHMARK SERIES by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN: 9780763887391
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN: 9780763887391
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: William L. William L. Hamilton
Publisher: Springer Nature
ISBN: 3031015886
Category : Computers
Languages : en
Pages : 141
Get Book Here
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: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156
Get Book Here
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: Tom Nicholas
Publisher: Harvard University Press
ISBN: 0674988000
Category : Business & Economics
Languages : en
Pages : 401
Get Book Here
Book Description
“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: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320
Get Book Here
Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Author: Nita Rutkosky
Publisher:
ISBN: 9780763887186
Category :
Languages : en
Pages :
Get Book Here
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: Tor Lattimore
Publisher: Cambridge University Press
ISBN: 1108486827
Category : Business & Economics
Languages : en
Pages : 537
Get Book Here
Book Description
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Author: David S. Bright
Publisher:
ISBN: 9781998109166
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Black & white print. Principles of Management is designed to meet the scope and sequence requirements of the introductory course on management. This is a traditional approach to management using the leading, planning, organizing, and controlling approach. Management is a broad business discipline, and the Principles of Management course covers many management areas such as human resource management and strategic management, as well as behavioral areas such as motivation. No one individual can be an expert in all areas of management, so an additional benefit of this text is that specialists in a variety of areas have authored individual chapters.
Author: Nita Rutkosky
Publisher:
ISBN: 9780763887377
Category :
Languages : en
Pages :
Get Book Here
Book Description
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.
Author:
Publisher:
ISBN: 9780763887230
Category :
Languages : en
Pages :
Get Book Here
Book Description
