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.

Laugh and learn with fun facts about money, including pennies, dollars, gold, and more—all told in Dr. Seuss’s beloved rhyming style and starring the Cat in the Hat! “I’m the Cat in the Hat and you know something funny? We’re about to have fun learning all about money!” The Cat in the Hat’s Learning Library series combines beloved characters, engaging rhymes, and Seussian illustrations to introduce children to non-fiction topics from the real world! Make sense of cents and learn all about: how ancient cultures used to barter what money has looked like through the ages how banking began long ago and much more! Perfect for story time and for the youngest readers, One Cent, Two Cents, Old Cent, New Cent also includes an index, glossary, and suggestions for further learning. Look for more books in the Cat in the Hat’s Learning Library series! Wacky Weather Oh, the Things You Can Do That Are Good For You Super-Dee-Dooper Book of Animal Facts Oh, the Pets You Can Get

Laugh and learn with fun facts about dogs, cats, birds, and more of your favorite pets—all told in Dr. Seuss’s beloved rhyming style and starring the Cat in the Hat! “I’m the Cat in the Hat. I love pets as you see. You can meet lots of pets if you travel with me.” The Cat in the Hat’s Learning Library series combines beloved characters, engaging rhymes, and Seussian illustrations to introduce children to non-fiction topics from the real world! Nurture a love of animals and learn the needs of different pets including: • cats and dogs • guinea pigs and rabbits • canaries and parakeets • and much more! Perfect for story time and for the youngest readers, Oh, the Pets You Can Get! also includes an index, glossary, and suggestions for further learning. Look for more books in the Cat in the Hat’s Learning Library series! Wacky Weather One Cent, Two Cents, Old Cent, New Cent Oh, the Things You Can Do That Are Good For You Super-Dee-Dooper Book of Animal Facts

Laugh and learn with fun facts about trees like the redwood, white oak, royal palm, and more—all told in Dr. Seuss’s beloved rhyming style and starring the Cat in the Hat! “Knowing trees’ names, my dear miss and dear mister, is like knowing the name of your brother or sister." The Cat in the Hat’s Learning Library series combines beloved characters, engaging rhymes, and Seussian illustrations to introduce children to non-fiction topics from the real world! Branch out and learn about: the different parts of a tree how to identify different species why a tree has bark and much more! Perfect for story time and for the youngest readers, I Can Name 50 Trees Today! All About Trees also includes an index, glossary, and suggestions for further learning. Look for more books in the Cat in the Hat’s Learning Library series! High? Low? Where Did It Go? All About Animal Camouflage Is a Camel a Mammal? All About Mammals The 100 Hats of the Cat in the Hat: A Celebration of the 100th Day of School A Great Day for Pup: All About Wild Babies Would You Rather Be a Pollywog? All About Pond Life Happy Pi Day to You! All About Measuring Circles Fine Feathered Friends: All About Birds My, Oh My--A Butterfly! All About Butterflies Oh Say Can You Seed? All About Flowering Plants Inside Your Outside! All About the Human Body Ice is Nice! All About the North and South Poles

This full-color workbook is designed to help build your child's phonics, reading, and spelling skills. In addition to pages of practice, you'll find easy instructions, ready reference pages with word lists, literature selections, answer keys, and Parent Pages to make the learning quick, easy, and fun for both you and your child! The Parent Pages provide descriptions of the skills your child is expected to know in first grade. The "At Home" activities provide easy-to-implement ideas to extend the learning fun. For your convenience, pull-out answer keys are provided at the back of the book.

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

This book introduces the basic principles and implementation process of deep learning in a simple way, and uses python's numpy library to build its own deep learning library from scratch instead of using existing deep learning libraries. On the basis of introducing basic knowledge of Python programming, calculus, and probability statistics, the core basic knowledge of deep learning such as regression model, neural network, convolutional neural network, recurrent neural network, and generative network is introduced in sequence according to the development of deep learning. While analyzing the principle in a simple way, it provides a detailed code implementation process. It is like not teaching you how to use weapons and mobile phones, but teaching you how to make weapons and mobile phones by yourself. This book is not a tutorial on the use of existing deep learning libraries, but an analysis of how to develop deep learning libraries from 0. This method of combining the principle from 0 with code implementation can enable readers to better understand the basic principles of deep learning and the design ideas of popular deep learning libraries.