Author:
Publisher: Turner Publishing Company
ISBN: 1681621614
Category : History
Languages : en
Pages : 656
Book Description
The history of the community and people of Conway County, Arkansas.
Conway County Heritage
Author:
Publisher: Turner Publishing Company
ISBN: 1681621614
Category : History
Languages : en
Pages : 656
Book Description
The history of the community and people of Conway County, Arkansas.
Publisher: Turner Publishing Company
ISBN: 1681621614
Category : History
Languages : en
Pages : 656
Book Description
The history of the community and people of Conway County, Arkansas.
Soil Survey of Conway County, Arkansas
Author: William R. Townsend
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 106
Book Description
Publisher:
ISBN:
Category : Soil surveys
Languages : en
Pages : 106
Book Description
Arkansas River, Conway County Drainage and Levee District No. 1, Arkansas
Author: United States. Army. Corps of Engineers
Publisher:
ISBN:
Category : Arkansas River
Languages : en
Pages : 42
Book Description
Publisher:
ISBN:
Category : Arkansas River
Languages : en
Pages : 42
Book Description
Conway County
Author:
Publisher:
ISBN: 9780935765038
Category : Conway County (Ark.)
Languages : en
Pages : 548
Book Description
Publisher:
ISBN: 9780935765038
Category : Conway County (Ark.)
Languages : en
Pages : 548
Book Description
Conway County Sheriff's Census
Author: Conway County (Ark.). Sheriff
Publisher:
ISBN:
Category : Conway County (Ark.)
Languages : en
Pages : 10
Book Description
Publisher:
ISBN:
Category : Conway County (Ark.)
Languages : en
Pages : 10
Book Description
Toad Suck Ferry Lock and Dam, Arkansas River Water Supply Relocation, Conway
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 202
Book Description
Machine Learning for Hackers
Author: Drew Conway
Publisher: "O'Reilly Media, Inc."
ISBN: 1449330533
Category : Computers
Languages : en
Pages : 323
Book Description
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Publisher: "O'Reilly Media, Inc."
ISBN: 1449330533
Category : Computers
Languages : en
Pages : 323
Book Description
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research. Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text Use linear regression to predict the number of page views for the top 1,000 websites Learn optimization techniques by attempting to break a simple letter cipher Compare and contrast U.S. Senators statistically, based on their voting records Build a “whom to follow” recommendation system from Twitter data
Annual Report of the Chief of Engineers to the Secretary of War for the Year ...
Author: United States. Army. Corps of Engineers
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 948
Book Description
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 948
Book Description
How I Stole Elections
Author: Marlin Hawkins
Publisher:
ISBN: 9780892212125
Category : Arkansas
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780892212125
Category : Arkansas
Languages : en
Pages : 0
Book Description
Conway Western Arterial Loop, Faulkner County
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 674
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 674
Book Description