Learn About Library
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Learn Library And Society
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Author : Anil Kumar Dhiman
language : en
Publisher: Ess Ess Publication
Release Date : 2005-08-01
Learn Library And Society written by Anil Kumar Dhiman and has been published by Ess Ess Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-01 with Language Arts & Disciplines categories.
"Learning Library Science Series was planned to give the students of LIS a complete and comprehensive study material so as to familiarize them with all there is to learn about basics of library science. This series has been divided into six parts, each of which is dedicated to one basic aspect of library and information science. The present series consists of six books in all. Its first part deals with Library and Society, second is Learn Library Management, third is Learn Library Classification (Theory), Fourth being Learn Library Cataloguing (Theory), fifth, Learn Reference Services, Information Services and their Sources and the last and sixth being Learn Computer Basics and its Application to Libraries."
The Intersection Of Library Learning And Second Language Learning
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Author : Karen Bordonaro
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2013-12-01
The Intersection Of Library Learning And Second Language Learning written by Karen Bordonaro and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Language Arts & Disciplines categories.
Language learning and library learning in a university setting are closely related endeavors that intersect at various times and locations, and with various teachers and learners. This book is an examination of how these intersections are experienced by language learners. Its aim is to explore the two types of learning to help sustain and develop the learning in both areas. The Intersection of Library Learning and Second-Language Learning: Theory and Practice is aimed at practitioners, both librarians and language instructors, and describes everyday scenarios which will resonate with academic librarians and language instructors. It presents practical experiences and accompanies them with a consideration of the literature of both librarianship and language education. It reviews and evaluates professional practices employed by working librarians and language instructors in their dealings with international students. Considerations of the intersections between language learning and library learning are placed within a theoretical framework of learner autonomy. This framework offers librarians and language instructors methods and practices that enable students to take control of their learning in the areas of both language learning and library learning. A concluding chapter offers ways to connect the framework of learner autonomy to settings outside that of a university context.
Library Services For Open And Distance Learning
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Author : Marie Kascus
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2000-06-15
Library Services For Open And Distance Learning written by Marie Kascus and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-15 with Language Arts & Disciplines categories.
As the electronic era blurs the boundaries between conventional and distance education and between remote and in-person library users, the literature on library issues and distance learning has proliferated immensely. This work helps you keep abreast of the phenomenal changes taking place in the field of education and the issues they raise for libraries. Identifying and describing more than 750 works published since its precursor was completed in 1995, the book provides a comprehensive record of the current literature about distance and open learning in post-secondary education programs. The authors cover all types of materials from around the world, ranging from brief news items to major research reports and dissertations. In this edition, special emphasis is given to web-based distance education. Access is provided through four indexes-author, geographical, institution, and subject-and indexes are cumulative from the previous two bibliographies.
E Learning And The Academic Library
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Author : Scott Rice
language : en
Publisher: McFarland
Release Date : 2016-04-27
E Learning And The Academic Library written by Scott Rice and has been published by McFarland this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-27 with Language Arts & Disciplines categories.
Focusing on academic libraries and librarians who are extending the boundaries of e-learning, this collection of essays presents new ways of using information and communication technologies to create learning experiences for a variety of user communities. Essays feature e-learning projects involving MOOCs (massive open online courses), augmented reality, chatbots and other innovative applications. Contributors describe the process of project development, from determination of need, to exploration of tools, project design and user assessment.
Learn Linux Quickly
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Author : Ahmed Alkabary
language : en
Publisher: Ahmed Alkabary
Release Date :
Learn Linux Quickly written by Ahmed Alkabary and has been published by Ahmed Alkabary this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
If you have always wanted to learn Linux but are still afraid to do so, this book is for you! A lot of people think of Linux as a sophisticated operating system that only hackers and geeks know how to use, and thus they abort their dream of learning Linux. Well, let me surprise you! Linux is simple and easy to learn, and this book is the ultimate proof! You may have stumbled across a variety of sources that all explain Linux in a complicated and dry manner. This book does exactly the opposite; it teaches you Linux in a delightful and friendly way so that you will never get bored, and you will always feel motivated to learn more. Learn Linux Quickly doesn't assume any prior Linux knowledge, which makes it a perfect fit for beginners. Nevertheless, intermediate and advanced Linux users will still find this book very useful as it goes through a wide range of topics. Learn Linux Quickly will teach you the following topics: · Installing Linux · Over 116 Linux Commands · User and Group Management · Linux Networking Fundamentals · Bash Scripting · Automate Boring Tasks with Cron Jobs · Create your Own Linux Commands · Linux Disk Partitioning and LVM · Finding Files on Linux · Understanding File Permissions · Linux Processes And much more! There is no time to waste here! Learn Linux Quickly and kick start your Linux career today!
Virtual Learning Environments Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2012-01-31
Virtual Learning Environments Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-31 with Computers categories.
As the world rapidly moves online, sectors from management, industry, government, and education have broadly begun to virtualize the way people interact and learn. Virtual Learning Environments: Concepts, Methodologies, Tools and Applications is a three-volume compendium of the latest research, case studies, theories, and methodologies within the field of virtual learning environments. As networks get faster, cheaper, safer, and more reliable, their applications grow at a rate that makes it difficult for the typical practitioner to keep abreast. With a wide range of subjects, spanning from authors across the globe and with applications at different levels of education and higher learning, this reference guide serves academics and practitioners alike, indexed and categorized easily for study and application.
Deep Learning Practical Neural Networks With Java
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Author : Yusuke Sugomori
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-06-08
Deep Learning Practical Neural Networks With Java written by Yusuke Sugomori and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-08 with Computers categories.
Build and run intelligent applications by leveraging key Java machine learning libraries About This Book Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries. Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This course is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. What You Will Learn Get a practical deep dive into machine learning and deep learning algorithms Explore neural networks using some of the most popular Deep Learning frameworks Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms Apply machine learning to fraud, anomaly, and outlier detection Experiment with deep learning concepts, algorithms, and the toolbox for deep learning Select and split data sets into training, test, and validation, and explore validation strategies Apply the code generated in practical examples, including weather forecasting and pattern recognition In Detail Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognitionStarting with an introduction to basic machine learning algorithms, this course takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. This course helps you solve challenging problems in image processing, speech recognition, language modeling. You will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text. You will also work with examples such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning and more. By the end of this course, you will have all the knowledge you need to perform deep learning on your system with varying complexity levels, to apply them to your daily work. The course provides you with highly practical content explaining deep learning with Java, from the following Packt books: Java Deep Learning Essentials Machine Learning in Java Neural Network Programming with Java, Second Edition Style and approach This course aims to create a smooth learning path that will teach you how to effectively use deep learning with Java with other de facto components to get the most out of it. Through this comprehensive course, you'll learn the basics of predictive modelling and progress to solve real-world problems and links neural network theory to their application
Resources In Education
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Author :
language : en
Publisher:
Release Date : 1998
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Education categories.
Practical Deep Learning
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Author : Ronald T. Kneusel
language : en
Publisher: No Starch Press
Release Date : 2021-02-23
Practical Deep Learning written by Ronald T. Kneusel and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Computers categories.
Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance. You’ll also learn: How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector Machines How neural networks work and how they’re trained How to use convolutional neural networks How to develop a successful deep learning model from scratch You’ll conduct experiments along the way, building to a final case study that incorporates everything you’ve learned. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects.
Python Machine Learning
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Author : Rajender Kumar
language : en
Publisher: Jamba Academy
Release Date : 2023-03-02
Python Machine Learning written by Rajender Kumar and has been published by Jamba Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with Computers categories.
Are you ready to dive into the world of Python machine learning? Look no further! "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is the perfect guide for you. Written by experienced data scientist, Rajender Kumar, this book takes you on a journey through the basics of machine learning and the powerful Scikit-learn library. Key Features: Detailed introduction to the fundamentals of machine learning and the Scikit-Learn library. Comprehensive coverage of essential concepts such as data preprocessing, model selection, evaluation, and optimization. Hands-on experience with real-world datasets and practical projects that will help you develop the skills you need to succeed in machine learning. Easy-to-follow explanations and step-by-step examples that make it easy for beginners to get started and advanced users to take their skills to the next level. See how machine learning is being used to solve problems in industries such as healthcare, finance and more. This book is perfect for beginners who are new to machine learning and want to learn Scikit-Learn from scratch. It is also ideal for intermediate and advanced users who want to expand their knowledge and build more complex models. Outcome: Unlock the earning potential of up to $300k in job after reading the book. Boosting your resume. Opening doors to new opportunities. What other people says: Don't just take our word for it - see what other readers have said: "I was able to understand machine learning concepts and implement them easily with the help of this book." "Rajender Kumar's writing style made the complex concepts easy to understand." "I highly recommend this book to anyone looking to learn machine learning with Python." Don't miss out on this opportunity to master the art of Python machine learning with "Python Machine Learning: A Beginner's Guide to Scikit-Learn". Get your copy today and start building your own intelligent systems! WHO THIS BOOK IS FOR? "Python Machine Learning: A Beginner's Guide to Scikit-Learn" is intended for a wide range of readers, including: Individuals who are new to the field of machine learning and want to gain a solid understanding of the basics and how to apply them using the popular scikit-learn library in Python. Data scientists, statisticians, and analysts who are familiar with machine learning concepts but want to learn how to implement them using Python and scikit-learn. Developers and engineers who want to add machine learning to their skill set and build intelligent applications using Python. Students and researchers who are studying machine learning and want to learn how to apply it using a widely used and accessible library like scikit-learn. Table of Contents Introduction to Machine Learning Python: A Beginner's Overview Data Preparation Supervised Learning Unsupervised Learning Deep Learning Model Selection and Evaluation The Power of Combining: Ensemble Learning Methods Real-World Applications of Machine Learning Future Directions in Python Machine Learning Additional Resources Tools and Frameworks Datasets Career Resources Glossary