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Wedding Music
  • Language: en
  • Pages: 216

Wedding Music

  • Type: Book
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  • Published: 1992
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  • Publisher: Unknown

Indexes 191 separate collections of wedding music, containing several thousand different titles and renditions. In addition to traditional wedding compositions, hundreds of modern love songs are also included. Most of the works are written for some combination of voice, piano, or organ, but some music for guitar and other instruments is also indexed. Annotation copyrighted by Book News, Inc., Portland, OR

SongCite
  • Language: en
  • Pages: 405

SongCite

  • Type: Book
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  • Published: 2014-02-04
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  • Publisher: Routledge

First Published in 1999. This is the first supplement to the initial SongCite publication and serves as an index to recently published collections of popular songs. 201 music books have been included, with over 6,500 different compositions listed. The vast majority of the collections is comprised entirely of vocal music, although, on occasion, instrumental works have been included.

Where's that Tune?
  • Language: en
  • Pages: 472

Where's that Tune?

Indexes 64 collections encompassing a total of over 13,500 songs by hundreds of different composers. Indexing is by title and composer, with complete bibliographic descriptions of the fakebooks included.

Index of Patents Issued from the United States Patent and Trademark Office
  • Language: en
  • Pages: 1736

Index of Patents Issued from the United States Patent and Trademark Office

  • Type: Book
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  • Published: 1993
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  • Publisher: Unknown

None

A Guide to Library Research in Music
  • Language: en
  • Pages: 290

A Guide to Library Research in Music

A Guide to Library Research in Music introduces the process and techniques for researching and writing about music. This informative textbook provides concrete examples of different types of writing, offering a thorough introduction to music literature. It clearly describes various information-searching techniques and library-based organizational systems and introduces the array of music resources available. Each chapter concludes with learning exercises to aid the students' concept application and skill development. Appendixes provide short cuts to specific topics in library organizational systems, including Library of Congress Subject Headings and Classification. The concluding bibliography provides a quick overview of music literature and resources, emphasizing electronic and print publications since 2000, but including standard references that all music researchers should know.

The Best Books for Academic Libraries: Music & fine arts
  • Language: en
  • Pages: 456

The Best Books for Academic Libraries: Music & fine arts

Books recommended for undergraduate and college libraries listed by Library of Congress Classification Numbers.

Index of Patents Issued from the United States Patent Office
  • Language: en
  • Pages: 1846

Index of Patents Issued from the United States Patent Office

  • Type: Book
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  • Published: 1971
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  • Publisher: Unknown

None

A Genealogical Study
  • Language: en
  • Pages: 336

A Genealogical Study

Contains a genealogical study on the author's ancestors. His parents were Andrew MacKinlay Bell (1847-1918) and Mary Emerancy Pickard (1847-1918) who were married in 1883 and lived in Nova Scotia. The Bell line is traced back to Samuel Bell who was granted land in Nova Scotia in 1784. His wife was Ann Cross (d. 1834). The immigrant ancestor on the Pickard line was John Pickard who was in Rowley, Massachusetts by 1644. A descendant, Moses Pickard (b. 1719), moved from Massachusetts to New Brunswick in 1766. His wife was Jane Saunders (b. 1723).

Deep Learning
  • Language: en
  • Pages: 801

Deep Learning

  • Type: Book
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  • Published: 2016-11-10
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  • Publisher: MIT Press

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 concep...

Transcript of the Enrollment Books
  • Language: en
  • Pages: 962

Transcript of the Enrollment Books

  • Type: Book
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  • Published: 1963
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  • Publisher: Unknown

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