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How can an academic who does not believe evil spirits cause illness harbor the hope that her cancer may be cured by a healer who enters a trance to battle her demons? Whose actions are more (or less) honorable: those of a prostitute who sells her daughter’s virginity to a rich man, or those of a professor who sanctions her daughter’s hook-ups with casual acquaintances? As they immerse themselves in foreign cultures and navigate the relationships that take shape, the authors of these essays, most of them trained anthropologists, find that accepting cultural difference is one thing, experiencing it is quite another. In tales that entertain as much as they illuminate, these writers show how the moral and intellectual challenges of living cross-culturally revealed to them the limits of their perception and understanding.

Their insights were gained only after discomforts resulting mainly from the authors’ own blunders in the field. From Brazil to Botswana, Egypt to Indonesia, Mongolia to Pakistan, mistakes were made. Offering a gift to a Navajo man at the beginning of an interview, rather than the end, caused one author to lose his entire research project. In Côte d’Ivoire, a Western family was targeted by the village madman, leading the parents to fear for the safety of their child even as they suspected that their very presence had triggered his madness. At a time when misunderstanding of cultural difference is an undeniable source of conflict, we need stories like these more than ever before.

• Sales Rank: #734594 in Books
• Brand: Brand: Harvard University Press
• Published on: 2011-09-19
• Released on: 2011-08-22
• Original language: English
• Number of items: 1
• Dimensions: 8.10" h x .70" w x 5.40" l, .50 pounds
• Binding: Paperback
• 272 pages

Features

• Used Book in Good Condition

Review
All preparing for extended stays in a culture foreign to them, whether for research or other purposes, can read the collection with profit. (R. Berleant-Schiller Choice 2012-04-01)

About the Author
Sarah H. Davis earned her PhD in cultural anthropology at Emory University.

Melvin Konner is Samuel Candler Dobbs Professor in the Department of Anthropology and the Program in Neuroscience and Behavioral Biology at Emory University.

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If you work with clients in any industry, The Art of Client Service is for you. If you work in an advertising or marketing agency, then this book is indispensable.

Distilling decades of experience, advertising executive Robert Solomon has compiled the definitive resource for advertising and marketing account executives: a fast-reading, pocket-size, actionable checklist of 58 essential ideas to help client service professionals improve their account management strategy and skills.

Now fully updated and revised, The Art of Client Service is geared to the entire account team -- copy writers, art directors, and planners, researchers, media executives, support staff -- anyone who works with clients. With brevity, levity, and clarity, Solomon recounts both successes and failures, and uses them to formulate fast-reading, actionable tips, including:

• Know when to look it up; know when to make it up. (#7)
• What happens when I screw up? (#51)
• Respect what it takes to do great creative. (#19)
• In a high-tech world, be low-tech (#46)
• Be brief, be bright, be gone. (#31)
• How to write a letter of proposal (#44)
• The Zen of PowerPoint. (#45)

You'll also find new chapters on technology in advertising, the changing role of client service in an increasingly high-tech era, and an updated bibliography of essential reading.

• Sales Rank: #177287 in Books
• Published on: 2008-01-01
• Released on: 2008-01-01
• Original language: English
• Number of items: 1
• Dimensions: 7.37" h x .80" w x 5.00" l, .61 pounds
• Binding: Hardcover
• 208 pages

Review
"A book about client service that is so practical it's almost embarrassing. Solomon offers unique perspectives that help clients, creatives, and, oh yeah, account people do their jobs better, resulting in more creative marketing.” —Tom Monahan, President, Before & After, and author of The Do-it-Yourself Lobotomy

“It is said that great clients get great work, but it doesn’t magically happen!  Without great account people daily bridging the gap between client and agency demands, it’s virtually impossible.  This is a must read book for all who have chosen to engage in the fine art of serving clients -  truly a fresh dose of account management inspiration!” —Karen M. Jones, Senior Vice President, Corporate and Marketing Communications, DHL Express

“With all the time and money it takes to win new business, professional services firms would be smarter to improve client service to retain more clients. Reading and practicing Robert Solomon’s advice is guaranteed to help.” —Joanne Davis, Joanne Davis Consulting

“As a career-long ‘client,’ I’ve been on a continuous search for the ideal agency account person. Robert Solomon…and students of his text…would clearly fit the bill. CMOs want insights, partnership, creative team leadership and results. The Art of Client Service teaches how to deliver them all.” —Sara Lipson, Chief Customer Sciences Officer, Market & Business Intelligence TIAA-CREF

“This book is essential reading for anyone in the creative services profession. Marketing disciplines may change with the times, but the art of client service is timeless—and Robert has captured its essence.” —Barry Wacksman, Executive Vice President, Chief Growth Officer R/GA

“In addition to sage, prescriptive advice, Robert demonstrates the importance of checking oneself with a good, hard look in the mirror—to learn lessons, and strive for greatness in the craft of managing client relationships.” —Sarah Fay, President, Isobar U.S.

About the Author
Robert Solomon is one of America’s most knowledgeable and respected client service executives. A frequent speaker on account management, Robert runs Solomon Strategic, a firm he founded in 1999 to provide marketing counsel and executive coaching to advertising agencies, client companies, and individual marketing professionals.  He has a long-standing affiliation with Gardner Nelson & Partners, where he helps create effective integrated advertising/direct/interactive campaigns. Robert previously was CEO of Rapp Collins New York, President of Direct and Interactive Marketing at Ammirati Puris Lintas, Managing Director of FCB Direct West, and Senior Vice President at Bronner Slosberg Associates (now Digitas). You can reach Robert at robert@solomonstrategic.com.

Most helpful customer reviews

1 of 1 people found the following review helpful.
Should be required reading for agency folk
By CJ
This book should be required reading for every agency account person. In fact, we made it just that at our agency. Every new account person now gets a copy and genuinely asked to read it. If everyone followed the advice in the book we'd all have a much easier time at work!

1 of 1 people found the following review helpful.
Five Stars
By Jennifer Nicole Crothers
Great book, great advice.

6 of 7 people found the following review helpful.
A must have for anyone in advertising!
By Morgan Chang
Of all the book on advertising I've read, this is by far my top pick. It's an easy read and extremely insightful. I started my career as an advertising recruiter and this book helped inspire me to make my move into an agency. The chapters are very well laid out, interspersed with humorous anecdotes and personal examples.

I would recommend this book to anyone remotely connected to the advertising industry and even those who are not, as its advice transcends the advertising world. For the aspiring advertising professional it will provide a comprehensive introduction to the business side of advertising and I believe even the most seasoned advertising executive would find this a delight to read.

I know I will continue to reference this book throughout the rest of my career. Don't forget to check out the reading list which includes both classics of advertising literature as well as the latest influential books!

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An accessible introduction to computer systems and architecture

Anyone aspiring to more advanced studies in computer-related fields must gain an understanding of the two parallel aspects of the modern digital computer: programming methodology and the underlying machine architecture. The uniquely integrated approach of Computer Architecture and Organization connects the programmer's view of a computer system with the associated hardware and peripheral devices, providing a thorough, three-dimensional view of what goes on inside the machine.

Covering all the major topics normally found in a first course in computer architecture, the text focuses on the essentials including the instruction set architecture (ISA), network-related issues, and programming methodology. Using "real world" case studies to put the information into perspective, the chapters examine:
* Data representation
* Arithmetic
* The instruction set architecture
* Datapath and Control
* Languages and the machine
* Memory
* Buses and peripherals
* Networking and communication
* Advanced computer architecture

A valuable feature of this book is the use of ARC, a subset of the SPARC processor, for an instruction set architecture. A platform-independent ARCTools suite, containing an assembler and simulator for the ARC ISA, that supports the examples used in the book is available. Better yet, the content is supplemented by online problem sets available through WileyPlus.

Balanced and thoughtfully designed for use as either a classroom text or self-study guide, Computer Architecture and Organization: An Integrated Approach will put you solidly on track for advancing to higher levels in computer-related disciplines.

About the Author:

MILES MURDOCCAserves as the President and CEO of Internet Institute USA (IIUSA), a private postsecondary information technology (IT) school specializing in networking, operating systems, IP telephony, programming, and security. Previously, Dr. Murdocca has been a computer science faculty member at Rutgers University and a research scientist at AT&T Bell Laboratories working in computer architecture, networking, and digital optical computing. He is the author of A Digital Design Methodology for Optical Computing and Principles of Computer Architecture and a contributing author to Computer Systems Design and Architecture, Second Edition as well as the author of dozens of professional papers and patents relating to information technology.

VINCE HEURING is an associate professor and acting chair of the Department of Electrical and Computer Engineering at the University of Colorado at Boulder. He has been at the university since 1984, and prior to that he spent three years at the University of Cincinnati. Professor Heuring's research encompasses computer architectures and programming language design implementation. He and his colleague, Harry Jordan, designed and built the world's first stored program optical computer, "SPOC."

• Sales Rank: #631132 in Books
• Published on: 2007-03-16
• Original language: English
• Number of items: 1
• Dimensions: 9.30" h x 1.00" w x 7.20" l, 2.02 pounds
• Binding: Hardcover
• 544 pages

From the Back Cover
An accessible introduction to computer systems and architecture

Anyone aspiring to more advanced studies in computer-related fields must gain an understanding of the two parallel aspects of the modern digital computer: programming methodology and the underlying machine architecture. The uniquely integrated approach of Computer Architecture and  Organization connects the programmer’s view of a computer system with the associated hardware and peripheral devices, providing a thorough, three-dimensional view of what goes on inside the machine.

Covering all the major topics normally found in a first course in computer architecture, the text focuses on the essentials including the instruction set architecture (ISA), network-related issues, and programming methodology. Using “real world” case studies to put the information into perspective, the chapters examine:

• Data representation
• Arithmetic
• The instruction set architecture
• Datapath and Control
• Languages and the machine
• Memory
• Buses and peripherals
• Networking and communication
• Advanced computer architecture

A valuable feature of this book is the use of ARC, a subset of the SPARC processor, for an instruction set architecture. A platform-independent ARCTools suite, containing an assembler and simulator for  the ARC ISA, that supports the examples used in the book is available. Better yet, the content is supplemented by online problem sets available through WileyPlus.

Balanced and thoughtfully designed for use as either a classroom text or self-study guide, Computer Architecture and Organization: An Integrated Approach will put you solidly on track for advancing to higher levels in computer-related disciplines.

About the Author:

MILES MURDOCCAserves as the President and CEO of Internet Institute USA (IIUSA), a private postsecondary information technology (IT) school specializing in networking, operating systems, IP telephony, programming, and security. Previously, Dr. Murdocca has been a computer science faculty member at Rutgers University and a research scientist at AT&T Bell Laboratories working in computer architecture, networking, and digital optical computing. He is the author of A Digital Design Methodology for Optical Computing and Principles of Computer Architecture and a contributing author to Computer Systems Design and Architecture, Second Edition as well as the author of dozens of professional papers and patents relating to information technology.

VINCE HEURING is an associate professor and acting chair of the Department of Electrical and Computer Engineering at the University of Colorado at Boulder.  He has been at the university since 1984, and prior to that he spent three years at the University of Cincinnati.  Professor Heuring’s research encompasses computer architectures and programming language design implementation. He and his colleague, Harry Jordan, designed and built the world’s first stored program optical computer, “SPOC.”

 

About the Author
MILES MURDOCCAserves as the President and CEO of Internet Institute USA (IIUSA), a private postsecondary information technology (IT) school specializing in networking, operating systems, IP telephony, programming, and security. Previously, Dr. Murdocca has been a computer science faculty member at Rutgers University and a research scientist at AT&T Bell Laboratories working in computer architecture, networking, and digital optical computing. He is the author of A Digital Design Methodology for Optical Computing and Principles of Computer Architecture and a contributing author to Computer Systems Design and Architecture, Second Edition as well as the author of dozens of professional papers and patents relating to information technology.

VINCE HEURING is an associate professor and acting chair of the Department of Electrical and Computer Engineering at the University of Colorado at Boulder.  He has been at the university since 1984, and prior to that he spent three years at the University of Cincinnati.  Professor Heuring’s research encompasses computer architectures and programming language design implementation. He and his colleague, Harry Jordan, designed and built the world’s first stored program optical computer, “SPOC.”

Most helpful customer reviews

2 of 2 people found the following review helpful.
Nice book.
By FABRICIO CARVALHO
I am electrical engineer and found this book very easy to understand. The case study provided by the authors (ARC - a risc computer) is good in the way that it gives the reader the opportunity to map general concepts to a very simple machine architecture. The simulator, provided in the authors' website, is also very helpful. As negative points, I found the exercises, by end of the chapters, very easy and without any challenge for the students, moreover, there are many typos throughout the book (including diagrams). I do recomend this book, specially for beginners in the field.

1 of 1 people found the following review helpful.
Great resource
By Me
This is a very good and informative book. for the most part It is very detailed.
Things that would make it better: Some topics such as grs bits are not covered very well. Supplementary material is needed as a result. Also, this book does NOT have an appendix consisting of a section for chapter answers (odd or even). This really would be useful to have.

2 of 3 people found the following review helpful.
Confusing Explanations and Diagrams
By Richard Monette
I was required to use this book for a course and found that, while it touched on the right topics, the explanations and diagrams were generally poorly presented and unnecessarily confusing. Honestly, I frequently found that free articles on Wikipedia were superior. Given that there are books which are routinely reviewed as being much better (Hennessey/Patterson etc.) I would strongly urge students and teachers to consider a different textbook.

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Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:

• A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools

• Illustrations of how to use the outlined concepts in real-world situations

• Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials

• Numerous exercises to help readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

• Sales Rank: #261613 in Books
• Brand: Ledolter, Johannes
• Published on: 2013-05-28
• Original language: English
• Number of items: 1
• Dimensions: 9.60" h x .92" w x 6.50" l, 1.63 pounds
• Binding: Hardcover
• 368 pages

Review

“I first taught a Ph.D. level course in business applications of data mining 10 years ago.  I regularly search the web, looking for business-oriented data mining books, and this is the first one I have found that is suitable for an MS in business analytics.  I plan to use it.  Anyone who teaches such a class and is inclined toward R should consider this text.”  (Journal of the American Statistical Association, 1 January 2014)

From the Back Cover

Showcases R's critical role in the world of business

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible robust computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:

• A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools
• Illustrations of how to use the outlined concepts in real-world situations
• Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials
• Numerous exercises to help readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

About the Author

JOHANNES LEDOLTER, PhD, is Professor in both the Department of Management Sciences and the Department of Statistics and Actuarial Science at the University of Iowa. He is a Fellow of the American Statistical Association and the American Society for Quality, and an Elected Member of the International Statistical Institute. Dr. Ledolter is the coauthor of Statistical Methods for Forecasting, Achieving Quality Through Continual Improvement, and Statistical Quality Control: Strategies and Tools for Continual Improvement, all published by Wiley.

Most helpful customer reviews

11 of 13 people found the following review helpful.
Contains discussion and practice and references elsewhere for details
By Richard C. Yeh
This is meant to be a practical book. The author's "objective is to provide a thorough discussion of the most useful data-mining tools that goes beyond the typical 'black box' description, and to show why these tools work". I think the result of reading and doing the exercises in this book is:

1. I will have acquired some familiarity with regression techniques and a few of the problems they can help with
2. I will have performed the regression techniques in R

Over half the text focuses on various kinds of regression. Then there is a little bit on classification, decision trees, clustering, principal components analysis.

However, I also think:

1. The math is so fast --- mostly one definition after another --- that its inclusion is superfluous. If you know what the equations are, there is no need to see them here. If you don't, this presentation isn't a good way to learn them. These sections often say to check out the author's 2006 text Introduction to Regression Modeling for more details.

2. The mentions of alternate software (Minitab, SAS, SPSS) are useless throwaways and should either be removed or expanded. Who cares if I have two brands of calculators that give me the same answer for 3 + 4? Likewise, there is no need to say that R gives the same answer as Minitab in a single example (pp. 88-92) or that some feature exists in SAS and SPSS (CHAID, p. 186).

3. The exercises are extremely important for practicing.

4. Examples sometimes have long program output. In my experience, it takes some practice to read the program output and understand what each number means, and this discussion is not really done in the text.

From a statistics perspective, I would instead recommend Tibshirani, Hastie, Friedman: The Elements of Statistical Learning. For machine learning techniques, Segaran: Programming Collective Intelligence.

5 of 6 people found the following review helpful.
Review for Data Mining and Business Analytics with R
By Bovas Abraham
This is an excellent book which is very accessible to readers in several fields. It gives a very good summary of different statistical techniques which are used for data mining. It also gives some good large data sets and show how the tools can be implemented. It begins with a chapter on summarizing the data to have an initial feel about the data. Then it gives discussion on regression (linear, polynomial, nonparametric). Then the book goes into techniques such as LASSO, logistic regression, classification, nearest neighbour analysis, decision trees, clustering, dimension reduction with principle components and partial least squares etc. These are all illustrated by examples with the help of the software R which is freely available on the internet. The book also presents, binary classification and multinomial logistic regression. It has a chapter on text mining as well. The last chapter discusses two examples of network data.
The book is well written with an applied audience in mind and hence details are avoided to focus on the techniques which are explained well. The examples are well chosen and illustrates the techniques very well. The data sets and the R code for all examples are on a webpage accompanying the book. Exercises and several large practice data sets are given at the end of the book. These are good resources for applying the techniques and getting practice.
Overall the book is very good for practitioners in diverse fields such as business, marketing, social sciences, and engineering.
It can also be used as a text in Management programmes, Applied Statistics etc. I recommend it highly.

2 of 2 people found the following review helpful.
Learning by example (if you already know basic R)
By I Teach Typing
While this book is expensive, if you know some R already and you are looking for more examples for covering statistical learning/modeling methods, with sample code, this is an excellent buy. If you don't know R you will need to spend a bunch of time getting up to speed before you hit this book.

Even though it is targeted at the business world the examples and code are widely applicable. From the table of contents and index you can get a feel for the topics covered. If you want to see the actual code used check the books website. It is solid and includes the code, the data sets and an errata. If you are curious to know what R libraries are touched, they include: arules, car, class, cluster, elipse, igraph, lars, lattice, leaps, locfit, MASS, mixOmics, mixtools, nutsheell, ROCR, startnet, textir, tree and VGAM.

This is a pretty book with great well annotated graphics to help you learn. The writing is pleasantly clear and direct without being too terse. While the code could be better commented (for the R novices) in general it is good and the text which surrounds the code is very good.

There are formulas here. The math complements the writing rather than being a deep dive.

The references to outside work are on target but the author does not include some obvious choices like An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) for a deeper look at the math or Data Analysis and Graphics Using R: An Example-Based Approach (Cambridge Series in Statistical and Probabilistic Mathematics) for additional examples.

Overall, this is an excellent book for someone who knows basic statistics and the fundamentals of R and who wants to learn modern methods using examples.

See all 19 customer reviews...

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