Cultivating Connected Learning: Library Programs for Youth 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 Cultivating Connected Learning: Library Programs for Youth PDF full book. Access full book title Cultivating Connected Learning: Library Programs for Youth by Megan E. Barrett. Download full books in PDF and EPUB format.

Cultivating Connected Learning: Library Programs for Youth

Cultivating Connected Learning: Library Programs for Youth PDF Author: Megan E. Barrett
Publisher: ABC-CLIO
ISBN: 1440855390
Category : Language Arts & Disciplines
Languages : en
Pages : 133

Get Book

Book Description
If you want to boost your library's relevancy and support youth learning, consider incorporating connected learning at your library. This book helps you to realize the potential of this exciting and dynamic trend. • Evidences the effectiveness of connected learning • Shows how connected learning in libraries complements and extends classroom learning • Explains how to incorporate connected learning into libraries of all sizes

Cultivating Connected Learning: Library Programs for Youth

Cultivating Connected Learning: Library Programs for Youth PDF Author: Megan E. Barrett
Publisher: ABC-CLIO
ISBN: 1440855390
Category : Language Arts & Disciplines
Languages : en
Pages : 133

View

Book Description
If you want to boost your library's relevancy and support youth learning, consider incorporating connected learning at your library. This book helps you to realize the potential of this exciting and dynamic trend. • Evidences the effectiveness of connected learning • Shows how connected learning in libraries complements and extends classroom learning • Explains how to incorporate connected learning into libraries of all sizes

Library Services for Online Patrons: A Manual for Facilitating Access, Learning, and Engagement

Library Services for Online Patrons: A Manual for Facilitating Access, Learning, and Engagement PDF Author: Joelle E. Pitts
Publisher: ABC-CLIO
ISBN: 1440859531
Category : Language Arts & Disciplines
Languages : en
Pages : 200

View

Book Description
This practical and holistic approach to offering library resources and services to online patrons addresses multiple areas of service to online patrons, including reference, instruction, access, and marketing. Academic libraries are wonderful resources for university students and faculty on campus, and public libraries thrive on providing targeted in-person services such as storytime, makerspaces, and adult programming. It can be easy, however, to forget about the large population of students, faculty, and community members who access library resources and use library services remotely. Library Services for Online Patrons reaches out to patrons who are not—or not always—located on campus or who seldom—if ever—visit libraries' physical facilities and who may not be aware of or able to equitably use library services. The authors focus on ways to organize library resources using principles of design and to cater library services to the specific needs of online students, faculty, and community members. They also address how to effectively target marketing to the online population and how to collaborate with campus and community stakeholders who work directly with them. Provides novel services and resources that will save librarians already serving online patrons time and energy Offers a broad, practical perspective to help novice librarians make initial connections with online learners Emphasizes the importance of identifying other institutional players in online education in order to effectively implement and market improvements Enhances understanding of the importance of universal design and how to assess possibilities for improvement in online services

Stellar Customer Service: Training Library Staff to Exceed Expectations

Stellar Customer Service: Training Library Staff to Exceed Expectations PDF Author: Mou Chakraborty
Publisher: ABC-CLIO
ISBN: 1440840776
Category : Language Arts & Disciplines
Languages : en
Pages : 213

View

Book Description
From librarians to volunteer workers, staff to student workers, all library personnel need to deliver great customer service. This book presents innovative instructional methods that will inspire you to take a fresh approach to customer service training. • Provides model staff training programs that have been proven successful in real-world applications • Addresses how to improve the delivery of customer service at all levels of personnel—librarians, general staff, student workers, and volunteers • Includes guidelines on re-training and evaluation of customer service training needs

Lifelong Learning in Public Libraries

Lifelong Learning in Public Libraries PDF Author: Donna L. Gilton
Publisher: Scarecrow Press
ISBN: 0810883570
Category : Language Arts & Disciplines
Languages : en
Pages : 252

View

Book Description
This book demonstrates that public librarians can promote learning by combining the elements of Information Literacy Instruction (ILI) with traditional practices of public libraries. It not only provides background on ILI and current developments in public library instruction, it also examines educational theories and practices derived from a variety of fields and translates the theories and practices into a well-coordinated plan for libraries to follow. It encourages librarians to rethink practices to incorporate the principles of ILI and will enable public librarians to extend and enrich their instruction on information use.

The Machine Learning Solutions Architect Handbook

The Machine Learning Solutions Architect Handbook PDF Author: David Ping
Publisher: Packt Publishing Ltd
ISBN: 1801070415
Category : Computers
Languages : en
Pages : 442

View

Book Description
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book Description When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

Machine and Deep Learning in Oncology, Medical Physics and Radiology

Machine and Deep Learning in Oncology, Medical Physics and Radiology PDF Author: Issam El Naqa
Publisher: Springer Nature
ISBN: 3030830470
Category : Science
Languages : en
Pages : 514

View

Book Description
This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Electronic Resources and Collection Development

Electronic Resources and Collection Development PDF Author: Sul H Lee
Publisher: Routledge
ISBN: 1136410996
Category : Language Arts & Disciplines
Languages : en
Pages : 142

View

Book Description
Examine the effects electronic resources have on your library! Electronic Resources and Collection Development examines how the transition to electronic resources in academic libraries has impacted traditional collection development policies and practices. Nine acclaimed librarians present their perspectives on the growing trend toward digital materials acquisition that is tipping the scales in favor of “access” in the “ownership vs. access” debate. The book provides insights on the use of electronic resources in major research libraries from data collection by JSTOR, a leading provider of digital resources to academic libraries. A rich and diverse collection of theory, opinion, and observation, Electronic Resources and Collection Development offers a unique understanding of how libraries are meeting the challenge of reshaping their collection development programs with electronic resources—a process that is quickly gaining momentum. Contributors are divided in their beliefs on whether a balance is still possible between print materials and electronic resources in academic libraries. Among the topics they discuss: the growing demand for e-books the increase in the use of distance education digitalizing special collections building localized collections use patterns of electronic journals and much more! Electronic Resources and Collection Development is an essential resource for library deans, directors, and collection development librarians as they assess the levels of change in their libraries.

Advanced Deep Learning with TensorFlow 2 and Keras

Advanced Deep Learning with TensorFlow 2 and Keras PDF Author: Rowel Atienza
Publisher: Packt Publishing Ltd
ISBN: 183882572X
Category : Computers
Languages : en
Pages : 512

View

Book Description
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key FeaturesExplore the most advanced deep learning techniques that drive modern AI resultsNew coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentationCompletely updated for TensorFlow 2.xBook Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects. Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques. Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance. Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI. What you will learnUse mutual information maximization techniques to perform unsupervised learningUse segmentation to identify the pixel-wise class of each object in an imageIdentify both the bounding box and class of objects in an image using object detectionLearn the building blocks for advanced techniques - MLPss, CNN, and RNNsUnderstand deep neural networks - including ResNet and DenseNetUnderstand and build autoregressive models – autoencoders, VAEs, and GANsDiscover and implement deep reinforcement learning methodsWho this book is for This is not an introductory book, so fluency with Python is required. The reader should also be familiar with some machine learning approaches, and practical experience with DL will also be helpful. Knowledge of Keras or TensorFlow 2.0 is not required but is recommended.

Distributed Learning and Virtual Librarianship

Distributed Learning and Virtual Librarianship PDF Author: Sharon G. Almquist
Publisher: ABC-CLIO
ISBN: 1591589061
Category : Language Arts & Disciplines
Languages : en
Pages : 306

View

Book Description
• Ten librarians with current, in-the-field experience bring their knowledge to each chapter • Provides a complete chronological time line of distributed learning • Illustrations clarify key topics such as copyright

Deep Learning With Python

Deep Learning With Python PDF Author: Jason Brownlee
Publisher: Machine Learning Mastery
ISBN:
Category : Computers
Languages : en
Pages : 266

View

Book Description
Deep learning is the most interesting and powerful machine learning technique right now. Top deep learning libraries are available on the Python ecosystem like Theano and TensorFlow. Tap into their power in a few lines of code using Keras, the best-of-breed applied deep learning library. In this Ebook, learn exactly how to get started and apply deep learning to your own machine learning projects.