Mastering Subject Specialties Practical Advice from the Field

Author: Karen Sobel
Publisher: ABC-CLIO
ISBN: 1440839654
Format: PDF, ePub, Docs
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Covering the most common subject specialties and departmental liaison roles found in colleges and universities, this guide is for early- and mid-career librarians looking to move up in their chosen specialty as well as for established academic librarians interested in changing fields or for librarians taking on liaison roles in areas outside their expertise. • Supplies invaluable career advice from experienced professionals on key subjects such as changing fields within librarianship, patterns of scholarly communication in different fields, tenure, and moving up in your chosen field • Provides information far beyond the basics taught in courses on academic librarianship • Offers valuable insights for beginning academic librarians as well as experienced librarians and career-changers • Covers the most commonly found subject specialties in colleges and universities—literature, history, social and behavioral sciences, arts, pure and applied sciences, and business—as well as in academic special libraries for law, health science, music, and government information

Fundamentals of Collection Development and Management Fourth Edition

Author: Peggy Johnson
Publisher: American Library Association
ISBN:
Format: PDF, Docs
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Technical Services Quarterly declared that the third edition “must now be considered the essential textbook for collection development and management … the first place to go for reliable and informative advice." For the fourth edition expert instructor and librarian Johnson has revised and freshened this resource to ensure its timeliness and continued excellence. Each chapter offers complete coverage of one aspect of collection development and management, including numerous suggestions for further reading and narrative case studies exploring the issues. Thorough consideration is given to traditional management topics such as organization of the collection, weeding, staffing, and policymaking;cooperative collection development and management;licenses, negotiation, contracts, maintaining productive relationships with vendors and publishers, and other important purchasing and budgeting topics;important issues such as the ways that changes in information delivery and access technologies continue to reshape the discipline, the evolving needs and expectations of library users, and new roles for subject specialists, all illustrated using updated examples and data; andmarketing, liaison activities, and outreach. As a comprehensive introduction for LIS students, a primer for experienced librarians with new collection development and management responsibilities, and a handy reference resource for practitioners as they go about their day-to-day work, the value and usefulness of this book remain unequaled.

Mastering Java Machine Learning

Author: Dr. Uday Kamath
Publisher: Packt Publishing Ltd
ISBN: 1785888552
Format: PDF
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Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning About This Book Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects More than 15 open source Java tools in a wide range of techniques, with code and practical usage. More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis. Who This Book Is For This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning. What You Will Learn Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance. Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining. Apply machine learning to real-world data with methodologies, processes, applications, and analysis. Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning. Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies. Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on. In Detail Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain. Style and approach A practical guide to help you explore machine learning—and an array of Java-based tools and frameworks—with the help of practical examples and real-world use cases.

A Guide to Computer User Support for Help Desk and Support Specialists

Author: Fred Beisse
Publisher: Cengage Learning
ISBN: 1305445724
Format: PDF
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Equip current and future user-support professionals with the critical people skills and exceptional technical knowledge necessary to provide outstanding support with Beisse's A GUIDE TO COMPUTER USER SUPPORT FOR HELP DESK AND SUPPORT SPECIALISTS, 6E. This useful guide focuses on the informational resources and technical tools students need most to function effectively in a support position. Readers develop the skills to handle troubleshooting and problem solving, successfully communicate with clients, determine a client's specific needs, and train end-users, as well as handle budgeting and other management priorities. Clear, balanced coverage in this edition highlights the latest trends and developments, from Web and e-mail-based support to assistance with Windows 7 and cloud computing. Engaging special features, such as Tips and On the Web Pointers, provide important insights, while new Discussion Questions and Case Projects encourage active participation in the learning process. Leading professional software HelpSTAR and Microsoft Office Project Professional 2010 accompany Beisse's A GUIDE TO COMPUTER USER SUPPORT FOR HELP DESK AND SUPPORT SPECIALISTS, 6E to reinforce the knowledge and skills your students need for success in today's user-support positions. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Indexing Specialties

Author: Pilar Wyman
Publisher: Information Today, Inc.
ISBN: 9781573870825
Format: PDF, Mobi
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This in-depth look at the indexing specialty field of medicine includes contributions from more than a dozen noted medical indexers. The book features 13 chapters and four parts: Medical Indexers, Medical Indexes, Medical Indexing, and Resources. A directory of medical reference tools and Internet sites is included.

Expertise in Nursing Practice Caring Clinical Judgment and Ethics

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1497028914
Format: PDF, Mobi
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Facts101 is your complete guide to Expertise in Nursing Practice, Caring, Clinical Judgment, and Ethics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Mastering ESL and Bilingual Methods

Author: Socorro Guadalupe Herrera
Publisher: Allyn & Bacon
ISBN:
Format: PDF, ePub, Mobi
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Sure to get students engaged and thinking critically about CLD students, this text examines theory and research-based methods that are specific to and effective with CLD students and which promote linguistic and academic achievement. This text concentrates on ways in which the differential needs of CLD students can be mutually accommodated within various classroom settings. Focusing on answering the provocative question: “In what ways do the needs of CLD students differ from those of students whose culture and language correspond to the dominant culture/language in American society?,” students will gain an understanding of the complex realities that CLD students face as well as the differential language and transition needs of these students. The specific challenges and processes of the sociocultural, academic, cognitive, and linguistic dimensions of the CLD student biography are explored in the text.