An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.

"A new & upgraded edition of the online test from Gallup's Now, discover your strengths"--Jacket.

Little a fills his box with things beginning with the letter "a" and is treated to a ride by an astronaut.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

A little boy fills his sound box with words beginning with the letter "a."

Academic E-Books: Publishers, Librarians, and Users provides readers with a view of the changing and emerging roles of electronic books in higher education. The three main sections contain contributions by experts in the publisher/vendor arena, as well as by librarians who report on both the challenges of offering and managing e-books and on the issues surrounding patron use of e-books. The case study section offers perspectives from seven different sizes and types of libraries whose librarians describe innovative and thought-provoking projects involving e-books. Read about perspectives on e-books from organizations as diverse as a commercial publisher and an association press. Learn about the viewpoint of a jobber. Find out about the e-book challenges facing librarians, such as the quest to control costs in the patron-driven acquisitions (PDA) model, how to solve the dilemma of resource sharing with e-books, and how to manage PDA in the consortial environment. See what patron use of e-books reveals about reading habits and disciplinary differences. Finally, in the case study section, discover how to promote scholarly e-books, how to manage an e-reader checkout program, and how one library replaced most of its print collection with e-books. These and other examples illustrate how innovative librarians use e-books to enhance users’ experiences with scholarly works.

Tom has spent most of his life locked behind the cruel walls of Weatherly Orphanage, but whenhe learns that his parents might still be alive, Tom knows he must do what he can to find them.He can't leave Weatherly without his best friend Sarah, so armed with a single clue to his past,the word Britfield, the two make a darling escape by commandeering a hot air balloon. Nowthey're on the run from a famous Scotland Yard detective and what looks like half the policeofficers in England. Tom and Sarah's journey takes them from Oxford University to WindsorCastle, through London, and finally to Canterbury. Along the way, they discover that Tom maybe the true heir to the British throne, but even with the help of two brilliant professors, it lookslike Tom and Sarah will be captured and sent back to the orphanage before they have a chanceto solve Tom's Royal mystery.