Learn Subject Access

Author : Lynn Farkas
Publisher : Totalrecall Publications
ISBN 13 : 9781590954393
Total Pages : 136 pages
Book Rating : 4.94/5 ( download)

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Download or read book Learn Library of Congress Subject Access (International Edition) written by Lynn Farkas and published by Totalrecall Publications. This book was released on 2016-03-15 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Learn Library of Congress subject access" covers the skills necessary for a subject cataloger in a library or information agency, whether at a professional or a paraprofessional level. It is suitable for use by librarianship students, and for those studying subject cataloging by themselves as part of their continuing professional development. Since most catalogs provide some subject access, it is important for all library students and most library staff to be familiar with at least the basics of subject cataloging. This book introduces students to the concepts of subject analysis and subject description. It provides practical guidance on identifying important topics and allocating appropriate terms to describe them. Since Library of Congress subject headings (LCSH) is the most widely used subject headings list worldwide, the main focus of the book is on effectively using this scheme. A mastery of Library of Congress subject headings will assist catalogers using any subject headings scheme. This first international edition of Learn Library of Congress subject access builds on previous Australian and North American editions, with a broader range of exercises and more information on chronological, geographic and name headings. A new chapter explains the features of Library of Congress' online product, Classification Web, and how it can be used for efficiently searching LCSH. Throughout the text there are exercises to practise and test new skills, with answers for self-checking at the back of the book. You may not always agree completely with the answers given, and it is useful to check them with a teacher or experienced cataloger. Always bear in mind that there is often room for more than one interpretation or emphasis, particularly in the area of subject analysis. LCSH is continually updated to include new concepts and incorporate revisions to existing headings. Answers to exercises reflect current practices as recorded in the 37th (2015) edition of Library of Congress subject headings and the online version of the Subject headings manual. Your answers may vary slightly if other editions of the scheme are used. Throughout the text, references have been made to relevant sections of the Subject headings manual by way of the section numbers-e.g., Free-Floating Subdivisions (H 1095). "Note on Spelling and Capitalization" This book is used in North America, Europe and Australasia, across countries that employ different spelling conventions for English words. For consistency, American spelling has been adopted for the text. Titles included in the text are capitalized according to standard library cataloging practice-that is, apart from names, only the first word of the title has a capital letter. This is intended to accustom library students and staff to this style.

Author : Koraljka Golub
Publisher : Bloomsbury Publishing USA
ISBN 13 : 161069578X
Total Pages : 181 pages
Book Rating : 4.87/5 ( download)

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Download or read book Subject Access to Information written by Koraljka Golub and published by Bloomsbury Publishing USA. This book was released on 2014-11-21 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the research of experts from the fields of computing and library science, this ground-breaking work will show you how to combine two very different approaches to classification to create more effective, user-friendly information-retrieval systems. A much-needed analysis of the intersection of information organization and technology, this interdisciplinary work encompasses both current and potential methods of organizing information by subject. It examines traditional approaches as they are used in the online environment and explores computer science approaches, such as ontologies and automated tools for subject information organization. Entries review the advantages and disadvantages of the two approaches, showcase their applications today, and project what those applications may be in the future. Content ranges from background on the importance of information organization in general to the importance of information organization by subject in particular. Traditional and modern knowledge-organization systems are covered, as are technological standards, selected topics in automated tools, and interdisciplinary research and cooperation. By tackling varied approaches, the work provides you with an appreciation of the tools—and an understanding of common aims.

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 pages
Book Rating : 4.67/5 ( download)

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Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: • Why sometimes letting your mind wander is an important part of the learning process • How to avoid "rut think" in order to think outside the box • Why having a poor memory can be a good thing • The value of metaphors in developing understanding • A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Author : H.A. Olson
Publisher : Springer Science & Business Media
ISBN 13 : 9401734356
Total Pages : 269 pages
Book Rating : 4.56/5 ( download)

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Download or read book The Power to Name written by H.A. Olson and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at the pervasive naming of information that libraries undertake as a matter of course through representation of subjects. It examines the 19th century foundations, current standards, and canonical application of internationally used classification (Melvil Dewey and his decimal scheme) and subject headings (Charles Cutter and the Library of Congress Subject Headings). It will be of interest to librarians, information scholars, professionals, and researchers.

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.68/5 ( download)

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Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Author : Marilyn Miller-White
Publisher : John Wiley & Sons
ISBN 13 : 0470108800
Total Pages : 676 pages
Book Rating : 4.02/5 ( download)

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Download or read book MCITP Developer: Microsoft SQL Server 2005 Data Access Design and Optimization Study Guide written by Marilyn Miller-White and published by John Wiley & Sons. This book was released on 2007-04-02 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: As your essential guide to Microsoft’s new SQL Server 2005 certification (exam 70-442), this book offers you practical and in-depth coverage. Full coverage of all exam objectives is presented in a systematic approach so you can be confident you’re getting the instruction you need for the exam. Plus, practical hands-on exercises reinforce critical skills and real-world scenarios put what you’ve learned in the context of actual job roles. Finally, challenging review questions in each chapter prepare you for exam day.

Author : Yaser S. Abu-Mostafa
Publisher :
ISBN 13 : 9781600490064
Total Pages : 201 pages
Book Rating : 4.69/5 ( download)

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Download or read book Learning from Data written by Yaser S. Abu-Mostafa and published by . This book was released on 2012-01-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ganendran Jacki
Publisher :
ISBN 13 : 9789748279626
Total Pages : 108 pages
Book Rating : 4.26/5 ( download)

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Download or read book Learn Subject Access written by Ganendran Jacki and published by . This book was released on 1998 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author :
Publisher :
ISBN 13 :
Total Pages : 760 pages
Book Rating : 4.80/5 ( download)

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Download or read book Resources in Education written by and published by . This book was released on 2001 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : J. Morris Chang
Publisher : Simon and Schuster
ISBN 13 : 1638352755
Total Pages : 334 pages
Book Rating : 4.54/5 ( download)

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Download or read book Privacy-Preserving Machine Learning written by J. Morris Chang and published by Simon and Schuster. This book was released on 2023-05-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation. Based on years of DARPA-funded cybersecurity research, ML engineers of all skill levels will benefit from incorporating these privacy-preserving practices into their model development. By the time you’re done reading, you’ll be able to create machine learning systems that preserve user privacy without sacrificing data quality and model performance. About the Technology Machine learning applications need massive amounts of data. It’s up to you to keep the sensitive information in those data sets private and secure. Privacy preservation happens at every point in the ML process, from data collection and ingestion to model development and deployment. This practical book teaches you the skills you’ll need to secure your data pipelines end to end. About the Book Privacy-Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter. What’s Inside Differential and compressive privacy techniques Privacy for frequency or mean estimation, naive Bayes classifier, and deep learning Privacy-preserving synthetic data generation Enhanced privacy for data mining and database applications About the Reader For machine learning engineers and developers. Examples in Python and Java. About the Author J. Morris Chang is a professor at the University of South Florida. His research projects have been funded by DARPA and the DoD. Di Zhuang is a security engineer at Snap Inc. Dumindu Samaraweera is an assistant research professor at the University of South Florida. The technical editor for this book, Wilko Henecka, is a senior software engineer at Ambiata where he builds privacy-preserving software. Table of Contents PART 1 - BASICS OF PRIVACY-PRESERVING MACHINE LEARNING WITH DIFFERENTIAL PRIVACY 1 Privacy considerations in machine learning 2 Differential privacy for machine learning 3 Advanced concepts of differential privacy for machine learning PART 2 - LOCAL DIFFERENTIAL PRIVACY AND SYNTHETIC DATA GENERATION 4 Local differential privacy for machine learning 5 Advanced LDP mechanisms for machine learning 6 Privacy-preserving synthetic data generation PART 3 - BUILDING PRIVACY-ASSURED MACHINE LEARNING APPLICATIONS 7 Privacy-preserving data mining techniques 8 Privacy-preserving data management and operations 9 Compressive privacy for machine learning 10 Putting it all together: Designing a privacy-enhanced platform (DataHub)