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Learning American Sign Language: Levels I & II--Beginning & Intermediate, Second Edition, is a major revision of the First Edition, designed to help learners successfully interact with deaf American Sign Language (ASL) users. Written by two leading authorities in the field, the text is used as the basic text for a one-semester or full-year course in ASL. Lessons are structured around language needed for common-life situations, and examples are presented in the form of dialogues coupled with grammar and vocabulary instruction. Information is also included about the culture of Deaf people in the United States. The book is supported by a new videotape and an instructor's manual.
Reinforces and expands on vocabulary, grammar and language functions taught in the classroom.
PIAZZA is an engaging and accessible solution for your introductory Italian course that accommodates your learning style at a value-based price. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Building Valve Amplifiers is a unique hands-on guide for anyone working with tube audio equipment--as an electronics hobbyist, audiophile or audio engineer. This 2nd Edition builds on the success of the first with technology and technique revisions throughout and, significantly, a major new self-build project, worked through step-by-step, which puts into practice the principles and techniques introduced throughout the book. Particular attention has been paid to answering questions commonly asked by newcomers to the world of the valve, whether audio enthusiasts tackling their first build or more experienced amplifier designers seeking to learn about the design principles and trade-offs of "glass audio." Safety considerations are always to the fore, and the practical side of this book is reinforced by numerous clear illustrations throughout. The only hands-on approach to building valve and tube amps--classic and modern--with a minimum of theory Design, construction, fault-finding, and testing are all illustrated by step-by-step examples, enabling readers to clearly understand the content and succeed in their own projects Includes a complete self-build amplifier project, putting into practice the key techniques introduced throughout the book
Learning Hiragana and Katakana is a systematic and comprehensive Japanese workbook that is perfect for self study or in a classroom setting. Written Japanese combines three different types of characters: the Chinese characters known as kanji, and two Japanese sets of phonetic letters, hiragana and katakana, known collectively as kana, that must be mastered before the Japanese kanji can be learned. Learning Japanese Hiragana and Katakana provides beginning-level students of Japanese a thorough grounding in the basic hiragana and katakana phonetic symbols or syllabaries. A comprehensive introduction presents their basic function, origin, pronunciation and usage. The main body of the book is devoted to presenting the 92 hira and kata characters along with their variations, giving step-by-step guidelines on how to write each character neatly in the correct stroke order, with plentiful practice spaces provided for handwriting practice. This Japanese workbook includes: Systematic and comprehensive coverage of the two Japanese kana systems. Ample provision for Japanese kana practice, review, and self-testing at several levels Detailed reference section explaining the origin and function of kana, and the various kana combinations. Access to online Japanese audio files to aid in correct pronunciation. Helpful additional information for language students accustomed to romanized Japanese. Vocabulary selected for usefulness and cultural relevance. About this new edition: The new third edition has been expanded and revised to include many additional reading and writing exercises. Accompanying online recordings demonstrate the correct pronunciation of all the characters, vocabulary, and sentences in the book.

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