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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1226
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1226
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Book Description
Author: United States. Congress. House
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1218
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Book Description
Author: C. Albert White
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 794
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Book Description
Author: National Archives (U.S.)
Publisher:
ISBN:
Category : Archives
Languages : en
Pages : 68
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Book Description
Author: Gunnar M. Brune
Publisher: Texas A&M University Press
ISBN: 9781585441969
Category : Business & Economics
Languages : en
Pages : 616
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Book Description
This text explores the natural history of Texas and more than 2900 springs in 183 Texas counties. It also includes an in-depth discussion of the general characteristics of springs - their physical and prehistoric settings, their historical significance, and their associated flora and fauna.
Author: United States. Superintendent of Documents
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 2868
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Book Description
Author: Michael F. Anderson
Publisher:
ISBN:
Category : Travel
Languages : en
Pages : 146
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Book Description
Author: United States. National Archives and Records Service
Publisher:
ISBN:
Category : Archives
Languages : en
Pages : 226
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Book Description
Author: Ted Kooser
Publisher: University of Pittsburgh Press
ISBN: 0822979284
Category : Poetry
Languages : en
Pages : 97
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Book Description
Ted Kooser’s third book in the Pitt Poetry Series is a selection of poems published in literary journals over a ten year period by a writer whose work has been praised for its clarity and accessiblity, its mastery of figurative language, and its warmth and charm.
Author: Steven S. Skiena
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
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Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
