Colonial Delaware PDF Download

Author: John Andrew Munroe
Publisher: Millwood, N.Y. : KTO Press
ISBN:
Category : History
Languages : en
Pages : 320

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Author: United States. National Labor Relations Board. Division of Judges
Publisher: Government Printing Office
ISBN:
Category : Law
Languages : en
Pages : 148

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Author: United States. Department of Justice
Publisher:
ISBN:
Category : Justice, Administration of
Languages : en
Pages : 720

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Author: United States. Congress
Publisher:
ISBN:
Category :
Languages : en
Pages : 638

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Author: United States. Office of Price Stabilization
Publisher:
ISBN:
Category : Price regulation
Languages : en
Pages : 760

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Author: United States. Army. Corps of Engineers. Jacksonville District
Publisher:
ISBN:
Category : Kissimmee River (Fla.)
Languages : en
Pages : 460

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Author: Lloyd Suh
Publisher: Dramatists Play Service, Inc.
ISBN: 0822239906
Category : Performing Arts
Languages : en
Pages : 48

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Book Description
Afong Moy is fourteen years old when she’s brought to the United States from Guangzhou Province in 1834. Allegedly the first Chinese woman to set foot on U.S. soil, she has been put on display for the American public as “The Chinese Lady.” For the next half-century, she performs for curious white people, showing them how she eats, what she wears, and the highlight of the event: how she walks with bound feet. As the decades wear on, her celebrated sideshow comes to define and challenge her very sense of identity. Inspired by the true story of Afong Moy’s life, THE CHINESE LADY is a dark, poetic, yet whimsical portrait of America through the eyes of a young Chinese woman.

Author: Jakob Nielsen
Publisher: Pearson Education
ISBN: 0132798158
Category : Computers
Languages : en
Pages : 668

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In 2000, Jakob Nielsen, the world’s leading expert on Web usability, published a book that changed how people think about the Web— Designing Web Usability (New Riders). Many applauded. A few jeered. But everyone listened. The best-selling usability guru is back and has revisited his classic guide, joined forces with Web usability consultant Hoa Loranger, and created an updated companion book that covers the essential changes to the Web and usability today. Prioritizing Web Usability is the guide for anyone who wants to take their Web site(s) to next level and make usability a priority! Through the authors’ wisdom, experience, and hundreds of real-world user tests and contemporary Web site critiques, you’ll learn about site design, user experience and usability testing, navigation and search capabilities, old guidelines and prioritizing usability issues, page design and layout, content design, and more!

Author: United States Sentencing Commission
Publisher:
ISBN:
Category : Sentences (Criminal procedure)
Languages : en
Pages : 24

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Author: Mark Needham
Publisher: "O'Reilly Media, Inc."
ISBN: 1492047635
Category : Computers
Languages : en
Pages : 297

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Book Description
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark