Personal Learning Networks

The authors define personal learning networks (PLNs) as informal online networks for lifelong learning. With this guide, teachers and administrators will first learn how to create their own PLNs to be

Most school librarians are solo librarians working with little direct contact with their counterparts in schools or in other types of libraries. This makes it very difficult to keep up with trends an

The effort to understand personal relationships has traditionally focused on the individual characteristics of participants. Personal Relationships and Personal Networks takes this analysis a step fur

This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is pres

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new dir

Written by experts in the field, this book describes the Personal Network architecture and its various componentsThis book focuses on networking and security aspects of Personal Networks (PNs). Given

Wireless Personal Area Networks provides an in-depth analysis of the recent IEEE 802.15.4 standard for low data rate wireless personal area networks (LR-WPANs), including suggestions to improve perfo

This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly im

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolu

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning huma

This book provides broad coverage of the security issues facing multihop wireless networks such as mobile ad hoc networks, wireless sensor networks, wireless mesh networks, and personal area networks.

"The Architecture of Productive Learning Networks explores the characteristics of productive networked learning situations and, through a series of case studies, identifies some of the key qualities o

The Architecture of Productive Learning Networks explores the characteristics of productive networked learning situations and, through a series of case studies, identifies some of the key qualities of

Vandenbroek, a junior high school librarian and former elementary school teacher, shows librarians how to create personal learning networks and provide resources for patrons using the social bookmarki

Lv et al. (Sichuan U., China) focus on the convergence analysis of subspace learning algorithms of neural networks and the ways to extend the use of these networks in fields like biomedical signal pro

Dynamic Learning Networks: Models and Cases In Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning pro

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Neural Networks and Learning Machines, Third Edition i

This book explores the creation of 'learning networks' and sheds light on how they function:- real versus virtual forms of interaction, collaboration versus competition in the learning process, and jo

Innovation, Networks and Learning Regions? address key issues of understanding in contemporary economic geography and local economic policy making in cities and regions in the advanced economies. Deve

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance.Deep Learning for Search teaches readers how to improve the ef

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory ne

Convenient organization into four parts: technical background, wireless communication technology, wireless local and personal area networks, and mobile wireless networks and applications. Animations p

Troubleshooting and Maintaining Cisco IP Networks (TSHOOT) Foundation Learning Guide is a Cisco authorized, self-paced learning tool for CCNP preparation. This book educates network professionals on h

"Socializing the Classroom: Social Networks and Online Learning, by Susan B. Barnes, examines how social media can be used in education through two research grants and real-world applications. Barnes

Drawing on her research into the formation and operation of a local learning and employment network in Geelong, Australia, Kamp proposes new approaches to analyzing networks and collaborative activiti

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal proce

Wireless Personal Communications: The Evolution of Personal Communications Systems deals with the topics of wireless networks and services; wireless code division multiple access; antennas, propaga

Socializing the Classroom: Social Networks and Online Learning, by Susan B. Barnes, examines how social media can be used in education through two research grants and real-world applications. Barnes a

Scientists in the biotechnology sector have developed a vast array of products and procedures, including drugs, diagnostics, agricultural products and veterinary procedures. This is made possible through various intra- and inter-organizational collaborations between the academic and private sectors, and through the establishment of networks for learning. In Networks for Learning and Knowledge Creation in Biotechnology, Amalya Lumerman Oliver shows how, in many respects, the organizational structure of the industry parallels one of its most important innovations – recombinant DNA (rDNA). She shows how the concept of recombination can be used to explain a number of organizational elements, including biotechnology firms, the form of university-based spin-offs, scientific entrepreneurship, and trust and contracts in learning collaborations and networks. The result is a stimulating account of how multiple theoretical perspectives can be used to understand the structure of the biotechnology

Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, variou

Scientists in the biotechnology sector have developed a vast array of products and procedures, including drugs, diagnostics, agricultural products and veterinary procedures. This is made possible through various intra- and inter-organizational collaborations between the academic and private sectors, and through the establishment of networks for learning. In Networks for Learning and Knowledge Creation in Biotechnology, Amalya Lumerman Oliver shows how, in many respects, the organizational structure of the industry parallels one of its most important innovations – recombinant DNA (rDNA). She shows how the concept of recombination can be used to explain a number of organizational elements, including biotechnology firms, the form of university-based spin-offs, scientific entrepreneurship, and trust and contracts in learning collaborations and networks. The result is a stimulating account of how multiple theoretical perspectives can be used to understand the structure of the biotechnology

If you've been charged with setting up storage area networks for your company, learning how SANs work and managing data storage problems might seem challenging. Storage Area Networks For Dummies, 2nd

The organization of individuals into networks and groups is of fundamental importance in many social and economic interactions. Examples range from networks of personal contacts used to obtain informa

Networks in the Global Village examines how people live through personal communities: their networks of friends, neighbors, relatives, and coworkers. It is the first book to compare the communities of

Study Skills and Test-Taking Strategies for Medical Students: Find and Use Your Personal Learning Style provides techniques that identify and apply the medical student's personal learning style to spe