Network Drafting

Network Drafting PDF Author: Alice Schlein
Publisher:
ISBN:
Category : Crafts & Hobbies
Languages : en
Pages : 144

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Book Description

Network Drafting

Network Drafting PDF Author: Alice Schlein
Publisher:
ISBN:
Category : Crafts & Hobbies
Languages : en
Pages : 144

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Book Description


The Complete Book of Drafting for Handweavers

The Complete Book of Drafting for Handweavers PDF Author: Madelyn Van der Hoogt
Publisher: Shuttle Craft Books
ISBN: 9780916658519
Category : Crafts & Hobbies
Languages : en
Pages : 136

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Book Description


Frontiers in Crystalline Matter

Frontiers in Crystalline Matter PDF Author: National Research Council
Publisher: National Academies Press
ISBN: 0309138000
Category : Science
Languages : en
Pages : 192

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Book Description
For much of the past 60 years, the U.S. research community dominated the discovery of new crystalline materials and the growth of large single crystals, placing the country at the forefront of fundamental advances in condensed-matter sciences and fueling the development of many of the new technologies at the core of U.S. economic growth. The opportunities offered by future developments in this field remain as promising as the achievements of the past. However, the past 20 years have seen a substantial deterioration in the United States' capability to pursue those opportunities at a time when several European and Asian countries have significantly increased investments in developing their own capacities in these areas. This book seeks both to set out the challenges and opportunities facing those who discover new crystalline materials and grow large crystals and to chart a way for the United States to reinvigorate its efforts and thereby return to a position of leadership in this field.

Graph Representation Learning

Graph Representation Learning PDF 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.

Commercial Drafting and Detailing

Commercial Drafting and Detailing PDF Author: Alan Jefferis
Publisher: Cengage Learning
ISBN: 9781435425972
Category : Technology & Engineering
Languages : en
Pages : 608

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Book Description
From site, floor, stair, and roof plans, to framing and foundation plans take a step-by-step journey through the architectural and structural drawings required in a complete set of commercial plans. Now in its third edition, Commercial Drafting and Detailing provides comprehensive coverage using clear explanations and professional, practical examples. Updates include an all-new chapter devoted to the development and drawing of architectural and structural details, as well as information that reflects the 2009 International Building Code and current Americans with Disabilities Act (ADA) specifications. With these important revisions, and the same clear concise coverage of building materials and skills that characterized previous editions, this book is an ideal resource. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Networks, Crowds, and Markets

Networks, Crowds, and Markets PDF Author: David Easley
Publisher: Cambridge University Press
ISBN: 1139490303
Category : Computers
Languages : en
Pages : 745

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Book Description
Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

Drafting a Conservation Blueprint

Drafting a Conservation Blueprint PDF Author: Craig Groves
Publisher:
ISBN:
Category : Nature
Languages : en
Pages : 504

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Book Description
Drafting a Conservation Blueprint lays out for the first time in book form a step-by-step planning process for conserving the biological diversity of entire regions. In an engaging and accessible style, the author explains how to develop a regional conservation plan and offers experience-based guidance that brings together relevant information from the fields of ecology, conservation biology, planning, and policy. Individual chapters outline and discuss the main steps of the planning process, including: • an overview of the planning framework • selecting conservation targets and setting goals • assessing existing conservation areas and filling information gaps • assessing population viability and ecological integrity • selecting and designing a portfolio of conservation areas • assessing threats and setting priorities A concluding section offers advice on turning conservation plans into action, along with specific examples from around the world. The book brings together a wide range of information about conservation planning that is grounded in both a strong scientific foundation and in the realities of implementation.

Residential Design, Drafting, and Detailing

Residential Design, Drafting, and Detailing PDF Author: Alan Jefferis
Publisher: Cengage Learning
ISBN: 9781133283171
Category : Architecture
Languages : en
Pages : 896

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Book Description
Master the skills most important for drawing, detailing, and designing residential structures with RESIDENTIAL DESIGN, DRAFTING, AND DETAILING, 2E. This step-by-step presentation centers exclusively on residential, familiarizing readers with standard construction practices involving wood, engineered materials, steel, and concrete as well as the latest green concepts and alternative materials. Updates throughout this edition reflect the latest standards, codes and guidelines, including the 2012 International Residential Code. Readers concentrate on CAD techniques using the guidelines from the United States National CAD - Standard--V5. Professional examples from architects, engineers, and designers as well as activities using actual architectural drawings and designs place readers into the role of professional CAD technicians. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Drafting Internet Agreements

Drafting Internet Agreements PDF Author: Gregory J. Battersby
Publisher: Wolters Kluwer
ISBN: 0735598967
Category : Law
Languages : en
Pages : 2760

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Book Description
Drafting Internet Agreements, Second Edition is the most comprehensive single volume collection of annotated forms for the internet. The book also offers valuable insights for business executives who want to know how internet transactions are structured and how to negotiate the best deals. This easy-to-use reference with accompanying CD-ROM offers instant access to more than 40 sample agreements for every area of internet practice including: Internet advertising Internet consulting Electronic commerce Internet joint ventures Internet licensing Technology development Website agreements And more Each form has been developed by the authors or other experienced internet law practitioners and has been used in actual transactions. Organized by type of transaction, each chapter includes a full agreement that illustrates the entire transaction as a seamless whole, as well as a variety of agreements for closely related issues. For each form, the authors provide a brief overview, an analysis of the different kinds of forms that relate to the topic, and a description of the form's applicability and use. Coverage includes: Developing the content portion of the website Seeking intellectual property protection of website content Resolving domain name disputes Seeking to recover a domain name to which you have rights Linking a website to other sites Raising capital to develop and operate a site Marketing the Internet site Selling advertising on the internet site And more. A andquot;Practice Tipsandquot; section before each form identifies the andquot;hot spotsandquot; that are likely to arise during the transaction, and offers guidance on resolving these hotly negotiated provisions quickly. Detailed checklists assist in drafting the final agreement. Drafting Internet Agreements, Second Edition also includes a free companion CD-ROM containing over 40 forms presented in the guide, making it easy to incorporate the forms into a word processing program.

Deep Learning

Deep Learning PDF Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801

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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.