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Sabtu, 28 Maret 2015

[I648.Ebook] Free PDF The Discourse Function of Inversion in English (Outstanding Dissertations in Linguistics), by Betty J. Birner

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First published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.

Sales Rank: #5140758 in Books
Published on: 1996-11-01
Original language: English
Number of items: 1
Dimensions: 9.00" h x 5.75" w x .75" l, .85 pounds
Binding: Hardcover
204 pages

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Kamis, 26 Maret 2015

[R813.Ebook] Free PDF Cost-Sensitive Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)From CRC Press

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In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include:

Cost of acquiring training data
Cost of data annotation/labeling and cleaning
Computational cost for model fitting, validation, and testing
Cost of collecting features/attributes for test data
Cost of user feedback collection
Cost of incorrect prediction/classification

Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process.

The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches, but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles.

Spurring further research on several open problems, this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

Sales Rank: #3887718 in Books
Published on: 2011-12-19
Original language: English
Number of items: 1
Dimensions: 9.30" h x .90" w x 6.20" l, 1.30 pounds
Binding: Hardcover
331 pages

About the Author

Balaji Krishnapuram is a senior R&D manager at Siemens Medical Solutions. He earned a Ph.D. in electrical and computer engineering from Duke University. His research interests include statistical data mining and information retrieval.

Shipeng Yu is a senior staff scientist at Siemens Medical Solutions. He earned a Ph.D. in computer science from the University of Munich. His research interests include statistical machine learning, data mining, Bayesian analysis, information retrieval and extraction, healthcare analytics, and personalized medicine.

R. Bharat Rao is senior director and head of Knowledge Solutions at Siemens Medical Solutions, where was recognized as one of its Inventors of the Year in 2005. He also received the 2011 ACM SIGKDD Lifetime Service Award for pioneering applications of data mining for healthcare. He earned a Ph.D. in electrical and computer engineering from the University of Illinois at Urbana-Champaign. His research interests include machine learning, healthcare analytics, mining large data, and personalized medicine.

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[G702.Ebook] Download Ebook AWS System Administration: Best Practices for Sysadmins in the Amazon Cloud, by Mike Ryan, Federico Lucifredi

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Building and deploying infrastructure with Amazon Web Services is simply not the same as dealing with static servers. With tools that let you automatically replace instances and scale up and down in response to demand, it’s actually more like programming than traditional system administration—and ideal for a DevOps environment.

This comprehensive guide shows developers and system administrators alike how to configure and manage AWS services, such as CloudFormation, OpsWorks, Elastic Load Balancing, and Route 53. System administrators will learn how to integrate their favorite tools and processes, while developers will pick up enough system administration knowledge to build a robust and resilient AWS application infrastructure.

Launch instances with EC2 or CloudFormation
Apply AWS security tools at the beginning of your project
Learn configuration management with OpsWorks and Puppet
Deploy applications with Auto Scaling and Elastic Load Balancing
Explore methods to deploy application and infrastructure updates
Reuse resources to save time on development and operations
Learn strategies for managing log files in AWS
Configure a cloud-aware DNS service with Route 53
Use CloudWatch or traditional tools to monitor your application

Sales Rank: #239791 in Books
Published on: 2016-12-25
Original language: English
Number of items: 1
Dimensions: 9.84" h x .59" w x 5.91" l, .0 pounds
Binding: Paperback
278 pages

About the Author

Mike has worked as a system administrator since the early 2000s in a variety of roles, including an ISP, at Greenpeace, and most recently a social media startup. In recent years, he have spent increasing amounts of time working with cloud services such as AWS, which has dovetailed perfectly with his love of automation and scalability.

As well as doing system administration as a day job, he is also building his own AWS-based startup. Cloudfrag provides on-demand game servers and relies heavily on a wide range of AWS services.

Federico Lucifredi is the maintainer of the man suite, the primary documentation-delivery tool under Linux, a graduate of Boston College and Harvard University, and a software engineer-turned-manager at the Novell corporation. Previously, Federico has been a CTO and a network software architect at ’.com’ and embedded Linux startups, and he has spent two years teaching in Boston University’s graduate and undergraduate programs, while simultaneously consulting for MIT. He is a frequent speaker at user group and conference events, notably the OSCON, LinuxWorld and IMPlanet conferences, where he was a panelist representing the Jabber community. Federico is a recognized expert in computing performance issues, and consults pro-bono with Standard and Poor’s clients interested in Free/Open Source Software technical and strategic issues. He participated in the GPL v3 drafting process in the large-corporation panel.

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Rabu, 25 Maret 2015

[S539.Ebook] Download PDF The Rustic Furniture Companion: Traditional Techniques and Inspirations, by Daniel Mack

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An introduction to making furniture from wood and tree materials gathered from the woodland floor, with easy-to-follow plans for making thirty projects, and illustrated with examples of the author's own work.

Sales Rank: #3786192 in Books
Brand: Brand: Sterling Pub Co Inc
Published on: 1998-08
Original language: English
Number of items: 1
Dimensions: 10.75" h x 8.25" w x .25" l,
Binding: Paperback
144 pages

Features

Used Book in Good Condition

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With the new emphasis on business intelligence, business analytics, and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.

Sales Rank: #629943 in eBooks
Published on: 2013-04-04
Released on: 2013-06-13
Format: Kindle eBook

Review
Fundamentals of Predictive Analytics with JMP covers all of the JMP features that have provided me aha moments as I've discovered them throughout the years. If I had this text years ago, I could have saved myself the trouble of having to discover them all myself! The text s use of screenshots truly demonstrates that a picture is worth 1,000 words. Its extensive use of the Graph Builder (one of my favorite JMP features) is worth the read alone. This book takes you from the what you learned in basic statistics courses to the how to extract useful knowledge out of your data. --Don Lifke, Master Black Belt, Data Visualization and Discovery

--Don Lifke, Master Black Belt, Data Visualization and Discovery

"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"

"Klimberg and McCullough's guide to predictive modeling has claimed a slot on my reference shelf. Fundamentals of Predictive Analytics with JMP achieves the double of being a starter's manual to the statistical platforms of JMP as well as a compact summary of methods and practical tips. This volume is unbelievably readable, and their ancillary comments are the best bits." --Kaiser Fung, Author of "Numbersense: How to Use Big Data to Your Advantage"

About the Author
Ron Klimberg is professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA. Before joining the faculty in 1997, he was professor at Boston University, an operations research analyst for the Food and Drug Administration, and a consultant. His primary research interests lie in the areas of multiple criteria decision making, DEA, facility location, data visualization and data mining. Ron was the 2007 recipient of the Tengelmann Award for his excellence in scholarship, teaching, and research. He received his PhD from The Johns Hopkins University.

B.D. McCullough is professor at the LeBow College of Business at Drexel University in Philadelphia, PA. Prior to joining Drexel, he was a senior economist at the Federal Communications Commission and an assistant professor at Fordham University. His research fields include applied econometrics and time series, accuracy of statistical and econometrics software, replicability of research, and data mining. He received his PhD from the University of Texas at Austin.

Most helpful customer reviews

4 of 4 people found the following review helpful.
Great guide for beginners and rusty practitioners.
By R.J. Cavazos
Fundamentals of Predictive Analytics with JMP covers the key concepts extraordinarily well via examples and clever well written explanations. The sections on decision trees and neural networks are especially good and those alone are worth the price of the book. The use of JMPs Graph Builder as well as screenshots makes the text very useful for self teaching and review. The book masterfully strikes the right balance between accessibility for a beginner and thorough enough for an advanced analyst seeking a refresher in key concepts and their deployment with JMP. All in all an excellent book.

4 of 4 people found the following review helpful.
Great beginners book for JMP
By AP
The book is very helpful. Each chapter spends sometime explaining the underlying concepts and the dives into step by step instructions for performing the actions in JMP. The one drawback is that the in chapter file references don't match up 100% to the downloadable content posted by the authors so you have to do some digging around to figure out what sample data file to use if you want to actively follow along. The authors need to go through and match up the downloaded able content as its described in the book.

5 of 8 people found the following review helpful.
Good book but poor electrconic version --Please fix!!!
By Andres Fortino
The table of contents and the start of each chapter is distorted and cannot be used. The kindle version of this book is only 50% useful.

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Senin, 23 Maret 2015

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Sales Rank: #12684999 in Books
Published on: 1991-12
Original language: English
Binding: Hardcover
219 pages

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Selasa, 10 Maret 2015

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Sales Rank: #1236531 in Books
Published on: 2010
Original language: English
Binding: Paperback
735 pages

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