Kamis, 08 Maret 2012

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South Will Rise Again, by J. T. Edson

While the Brotherhood for Southern Freedom is determined to restore the south to its prewar glory, beautiful Belle Boyd works desperately undercover to prevent the group from starting a war and achieving its ends. Reprint.

  • Sales Rank: #965682 in Books
  • Published on: 1980-03-01
  • Released on: 1955-05-05
  • Original language: English
  • Number of items: 1
  • Dimensions: 5.00" h x 1.00" w x 7.00" l,
  • Binding: Mass Market Paperback

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Live the Paleo lifestyle to get healthy and fit with natural foods

Paleo All-In-One For Dummies is the powerhouse resource that includes all the information you'll need to get started with the Paleo lifestyle or further refine your diet if you're already a convert! With content from leading authorities on the Paleo lifestyle, this easy-to-read, all-in-one resource offers a complete overview of living the primal life to lose weight, improve athletic performance, get fit, and stay healthy. Use the tips from the book to change your diet to include healthy, natural foods, then jump into the companion workout videos to master the Paleo moves and techniques that are featured in the book.

The Paleo movement is taking the scientific world by storm, with studies indicating that the diet lowers the risk of cardiovascular disease, encourages weight loss, controls acne, and leads to greater overall health and athletic performance.

  • Discover an appealing, sustainable alternative to highly restrictive diets that are doomed to fail
  • Incorporate healthy, natural foods into your daily routine to achieve better health and a better physique
  • Get comprehensive coverage of the Paleo lifestyle from leading experts
  • Start or refine your paleo diet whether you're new to the concept or a seasoned Paleo follower

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  • Sales Rank: #94348 in Books
  • Published on: 2015-03-02
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.30" h x 1.00" w x 7.40" l, 1.47 pounds
  • Binding: Paperback
  • 528 pages

From the Back Cover

4 BOOKS IN 1

  • Living Paleo For Dummies
  • Paleo Cookbook For Dummies
  • Paleo Workouts For Dummies
  • Paleo Desserts For Dummies

Get healthy and fit the Paleo way

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  • Take a cue from our ancestors — discover how we were designed to live, glimpse the science behind the Paleo lifestyle, and find out how prehistoric practices can cure modern ailments
  • Feed your inner caveman — get familiar with the "yes" and "no" foods of the Paleo diet, make sure you're getting the nutrients you need, and track progress with health markers
  • Workouts for primal perfection — find caveman-approved exercises using pushes and pulls, hinges and squats, and heavy carrying
  • The meat (and more) of the matter — make Paleo-friendly recipes for every meal of the day, from mouth-watering mains to nutrition-packed sides, soups, and salads
  • Don't forget the cave kids — keep your little ones happy and healthy with recipes for packing yummy, kid-friendly Paleo lunches

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  • Why the Paleo lifestyle works
  • Tips on stocking your kitchen
  • Advice for making the transition to a Paleo lifestyle
  • Paleo-friendly exercises to tone your body
  • Ways to spice up Paleo cooking with sauces, dressings, and salsas
  • Recipes to satisfy your sweet tooth
  • Delicious veggie dishes
  • 21-day and 90-day fitness routines
  • Pointers on avoiding potential pitfalls

Most helpful customer reviews

7 of 7 people found the following review helpful.
Gives some excellent information that I haven't seen in other paleo books
By Rodine L. Mastrandrea
Gives some excellent information that I haven't seen in other paleo books. I also enjoy the fact that the nutritional information is printed at the beginning of the recipes, since I am also doing weight watchers while doing it in a paleo fashion. This certainly helps when I have to tally up the points every day.

5 of 5 people found the following review helpful.
Four Stars
By Brenda K. Fresco
Good information for beginners. Lots of recipes. Like the breakdown of the four sections.

3 of 3 people found the following review helpful.
Really useful book. Has changed my eating regime and I ...
By Amazon Customer
Really useful book. Has changed my eating regime and I have already lost weight and have more energy

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Rabu, 07 Maret 2012

[U742.Ebook] Download The Oxford Handbook of the Welfare State (Oxford Handbooks), by Francis G. Castles, Stephan Leibfried, Jane Lewis, Herbert Obinger, Christ

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The Oxford Handbook of the Welfare State is the authoritative and definitive guide to the contemporary welfare state. In a volume consisting of nearly fifty newly-written chapters, a broad range of the world's leading scholars offer a comprehensive account of everything one needs to know about the modern welfare state. The Handbook is divided into eight sections. It opens with three chapters that evaluate the philosophical case for (and against) the welfare state. Surveys of the welfare state's history and of the approaches taken to its study are followed by four extended sections, running to some thirty-five chapters in all, which offer a comprehensive and in-depth survey of our current state of knowledge across the whole range of issues that the welfare state embraces. The first of these sections looks at inputs and actors (including the roles of parties, unions, and employers), the impact of gender and religion, patterns of migration and a changing public opinion, the role of international organisations and the impact of globalization. The next two sections cover policy inputs (in areas such as pensions, health care, disability, care of the elderly, unemployment, and labour market activation) and their outcomes (in terms of inequality and poverty, macroeconomic performance, and retrenchment). The seventh section consists of seven chapters which survey welfare state experience around the globe (and not just within the OECD). Two final chapters consider questions about the global future of the welfare state.

The individual chapters of the Handbook are written in an informed but accessible way by leading researchers in their respective fields giving the reader an excellent and truly up-to-date knowledge of the area under discussion. Taken together, they constitute a comprehensive compendium of all that is best in contemporary welfare state research and a unique guide to what is happening now in this most crucial and contested area of social and political development.

  • Sales Rank: #923517 in Books
  • Published on: 2012-11-08
  • Original language: English
  • Number of items: 1
  • Dimensions: 6.80" h x 1.70" w x 9.60" l, 3.48 pounds
  • Binding: Paperback
  • 912 pages

Review
Review from previous edition: "This landmark book achieves its aspiration to provide the "most authoritative survey and critique of the welfare state yet published... it should be part of the foundation collection in any college library. Summing Up: Essential. Upper-division undergraduates and above." --Choice

"This is a landmark book for international scholarship in social policy. It has been compiled by some of the leading international scholars in the field and published, in some style, by Oxford University Press all academics in the field should ensure that university libraries acquire copies of the book. It will prove to be an essential reference for all those studying social policy, as well as many in politics, public administration, sociology and other cognate subjects. More generally, it is attention to detail, co-existing with breadth of vision and reach, which make this such an attractive book. The editors and their contributors are addressing most of the big questions that underpin the history of the welfare state and its future prospects, and they are doing this on an international scale. If you are not passionate about social policy before encountering this Handbook, then surely you will be once you have begun to delve into it." --Journal of Social Policy

About the Author

Francis G. Castles is Professor Emeritus at the University of Edinburgh and Adjunct Professor of Political Science at the Research School of Social Sciences at Australian National University and at the Center for Social Policy Research (CeS) in Bremen.

Stephan Leibfried is Professor of Public Policy at the University of Bremen, Director of the Collaborative Research Center "Transformations of the State" (TranState) and member of the Unit History and Institutions of the Center for Social Policy Research (CeS) there.

Jane Lewis is Professor of Social Policy at the London School of Economics and Political Science, a Fellow of the British Academy, and a Founding Fellow of the Academy of Social Sciences.

Herbert Obinger is Professor of Comparative Public and Social Policy at the University of Bremen, directs the Unit History and Institutions of the Center for Social Policy Research (CeS) and directs two projects in the Collaborative Research Center "Transformations of the State" (TranState).

Christopher Pierson is Professor of Politics at the University of Nottingham and Director of Teaching and Lead Editor of the British Journal of Politics and International Relations.

Most helpful customer reviews

1 of 1 people found the following review helpful.
Tour de Force
By C Bradley Scharf
This volume is a magnificent collection, encompassing most important dimensions of welfare state development. A great many accomplished scholars have contributed chapters on their specialties.

1 of 1 people found the following review helpful.
Five Stars
By Ísis Mathias
Contains a broad spectrum of theory and experiences of the Welfare State around the world.

See all 2 customer reviews...

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Minggu, 04 Maret 2012

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A comprehensive guide to Minecraft: Pocket Edition. Starting with how to play, but giving inspiration on what you should build, and giving advance level pro tips on how to find diamonds and much, much more!

  • Sales Rank: #3972 in eBooks
  • Published on: 2015-11-04
  • Released on: 2015-11-04
  • Format: Kindle eBook

Most helpful customer reviews

4 of 4 people found the following review helpful.
Good for children....it has dome kind of learning material
By Amazon Customer
My grandchildren like this game, they tried to teach me how to play it

4 of 4 people found the following review helpful.
Five Stars
By Mary Ann Frisard
My grand son loves playing Minecraft.

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AMAZING BOOK
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Jumat, 02 Maret 2012

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Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst, by Dean Abbott

Learn the art and science of predictive analytics — techniques that get results

Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included.

  • The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today
  • This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions
  • Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish
  • Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios
  • A companion website provides all the data sets used to generate the examples as well as a free trial version of software

Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

  • Sales Rank: #310208 in Books
  • Published on: 2014-04-14
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.30" h x .88" w x 7.40" l, 1.65 pounds
  • Binding: Paperback
  • 456 pages

Review
This book provides an excellent background to predictive analytics (BCS, December 2014)

From the Back Cover

APPLY THE RIGHT ANALYTIC TECHNIQUE

Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst shows tech-savvy business managers and data analysts how to use predictive analytics to solve practical business problems. It teaches readers the methods, principles, and techniques for conducting predictive analytics projects, from start to finish. Internationally recognized data mining and predictive analytics expert Dean Abbott provides a practical and authoritative guide to best practices for successful predictive modeling, including expert tips and tricks to avoid common pitfalls.

This book explains the theory behind the principles of predictive analytics in plain English; readers don’t need an extensive background in math and statistics, which makes it ideal for most tech-savvy business and data analysts. Each of the chapters describes one or more specific techniques and how they relate to the overall process model for predictive analytics. The depth of the description of a technique will match the complexity of the approach, with the intent to describe the techniques in enough depth for a practitioner to understand the effect of the major parameters needed to effectively use the technique and interpret the results.

Each of the techniques is illustrated by examples, either unique to the task or as part of predictive modeling competitions. The companion website will provide all of the data sets used to generate these examples, along with links to open source and commercial software, so that readers can recreate and explore the examples.

With detailed descriptions of techniques that get results, Applied Predictive Analytics shows you how to:

  • Choose the proper analytics technique for various scenarios
  • Avoid common mistakes and identify the weaknesses of various techniques
  • Mitigate outliers and fill in missing data when necessary
  • Interpret predictive models often considered “black boxes,” including model ensembles
  • Learn how to assess model performance so the best model is selected
  • Apply the appropriate sampling techniques for building and updating models

About the Author

DEAN ABBOTT is President of Abbott Analytics, Inc. (San Diego). He is an internationally recognized data mining and predictive analytics expert with over two decades experience in fraud detection, risk modeling, text mining, personality assessment, planned giving, toxicology, and other applications. He is also Chief Scientist of SmarterRemarketer, a company focusing on behaviorally- and data-driven marketing and web analytics.

Most helpful customer reviews

21 of 21 people found the following review helpful.
Comprehensive Approach
By Keith McCormick
I’ve read dozens of books on data mining. I’m also lead author on a data book that specifically uses IBM SPSS Modeler. Full disclosure: the author of this book and I coauthored the book about Modeler.

This book takes a unique, and badly needed, approach to the subject. It is a “how-to” without being a software book. Too many software instruction books focus so much on features and functions that you lose sight of the big picture. Also, too many data mining books focus solely on algorithms – often one chapter per algorithm. While many of those books are good, and necessary, there are plenty of them already.

This book invests approximately equal coverage to the six phases of the Cross Industry Standard Process for Data Mining (CRISP-DM). The evidence that the author is an expert is easy to find. Rather than merely providing the usual boilerplate on statistical significance, he reminds the reader that data miners interpret the ability of their model to generalize differently and with different tools. Rather than writing a section on regression right out of a introductory statistics book, he shows how he sometimes uses regression for classification, an approach that is technically against the rules. Rather than just a laundry list of algorithms he dedicates an entire chapter to ensembles, describing it not as another algorithm, but as a way of thinking about problems. His descriptions of boosting and bagging are clear and succinct. The essence of the book is in someways captured by the fact that one brief section is entitled “Models Ensembles and Occam’s Razor,” a section that praises ensembles even though they seem to threaten parsimony.

Perhaps, most importantly, he gives lots of advice. A book like this, on a topic like this, can be overwhelming in its factual detail. Knowledge of how the technique works does not imply action in and of itself. You need to know what you should do with this information. Applied Predictive Analytics is a coaching and mentoring session with someone that has been doing it for more than 20 years.

19 of 21 people found the following review helpful.
Some improvements could make this a better book
By OnceMore
I like to compare this book with a very similar one from O'Reilly, entitled "Data Science for Business" by Foster Provost and Tom Fawcett.

Both books are organized around the Cross-Industry Standard Process Model for Data Mining (CRISP-DM), which groups data mining / predictive analytics project tasks into the following six distinct stages:

* Business Understanding: Define the project (e.g., what are the business and data modeling objectives, how are they aligned, what would be the target and/or input variables, what criteria would be used for evaluating the models, how would the models be deployed, etc)

* Data Understanding: Examine the data; identify potential problems with the data

* Data Preparation: Fix problems in the data (e.g., decide what to do with outliers and missing values; standardize data formats etc.); create derived variables; transform and/or normalize data

* Modeling: Build predictive or descriptive models

* Evaluation: Assess models; report on the expected effects of models

* Deployment: Use the models; monitor model performance

In terms of coverage, this book provides guidance for all of the above-mentioned stages, with particular attention to the Data Understanding, Data Preparation, and Evaluation stages, while the Provost and Fawcett book provides guidance mostly for the Business Understanding, Data Understanding, Modeling, and Evaluation stages only.

This book covers more modeling algorithms than the Provost and Fawcett book, but both books tend to keep discussions of the covered algorithms to qualitative descriptions only, instead of the in-depth mathematical discussions found in more theoretically-oriented books. The Provost and Fawcett book does provide better and slightly deeper descriptions of the covered algorithms, however.

Both books cover Decision Trees, for example. Whereas this book only mentions that Decision Trees belong to a class of recursive partitioning algorithms that use concepts such as "Information Gain" or "Gini Index" as possible partitioning criteria, the Provost and Fawcett book goes further by illustrating how "Information Gain" can actually be computed using simple formulas and a small enough but still interesting dataset. By learning how to hand-build the resulting Decision Tree from scratch using the illuminating but still simple example, readers of that book are likely to have more memorable insights about Decision Trees than those they can acquire from this book.

Compared to the Provost and Fawcett book, which I think is the better book pedagogically speaking because it does more things right for its readers, this book could also probably benefit from the following suggested improvements:

* Be more selective regarding what gets discussed in the Business Understanding chapter. Although it is true that the project plan that is being drawn at this stage should include deliberations about how models are going to get evaluated, a few statements indicating this should suffice. There is probably no need to make specific mentions of things such as Lift, Gain, ROC, Area Under the Curve, and Confusion Matrices which don't really get defined and discussed much, much later in the book. By doing so, the author is being laudably meticulous but risks unnecessarily distracting his readers to details they might not yet be equipped to process.

* Reconsider the ordering of some chapters. An earlier modeling chapter discusses Kohonen Self-Organizing Maps (SOM)-- a type of neural networks -- before the more basic neural networks discussion takes place in a later chapter. A chapter on how to interpret Clusters discusses the use of Decision Trees for this purpose before Decision Trees themselves are discussed in a later chapter. Having now read the book, I think reversing those chapters would make the book more readable for those who may not yet know much about neural networks or decision trees.

* Consider using color graphics. Some texts in the book read as though readers were looking at color graphics but in print those graphics were actually in grey-scale.

For readers interested in knowing what modeling algorithms are covered in this book, they include: Itemsets and Association Rules (or Market Basket Analysis), Principal Components Analysis, Clustering (K-Means and Kohonen SOM), Decision Trees, Logistic Regression, Neural Networks, K-Nearest Neighbor, Naive Bayes, Linear Regression, and Model Ensembles (Bagging, Boosting, etc.).

Finally, for readers curious about possible prerequisites for this book, I would say they include basic knowledge of statistics including understanding of concepts such as z-scores, correlations, and ANOVA (Analysis of Variance), and some SQL concepts such as group by and where clauses. The more knowledge you have of these concepts, the easier time you would have reading this book.

10 of 10 people found the following review helpful.
Different books for different people
By Someone
[Good]

There are few books on predictive analytics. Most of them are either university textbooks with prices to match or encompass other areas of analytics such as classification (which isn't a bad thing).

[Ok]

It's not really a pure introduction to subject, nor is it a definitive guide. You will need some context and some really basic knowledge of statistics. This will not satisfy either the expert or the beginner.

[Bad]

There are no exercises for not forcing the reader apply and test knowledge. It's really hard to gauge your understanding of a subject, when you're just being spoon fed content.

[Verdict]

It's a good starter for someone who's vaguely familiar with analytics in general, who needs some light knowledge very quickly.

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  • Sales Rank: #1888760 in Books
  • Brand: Brand: Loft Press
  • Published on: 2003-06
  • Number of items: 1
  • Binding: Hardcover
  • 400 pages
Features
  • Used Book in Good Condition

About the Author
Author Colin Barrett has written more than 40 books on traffic and transportation, and the popular Questions & Answers column in Traffic World magazine for more than 30 years.

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0 of 0 people found the following review helpful.
Five Stars
By Amazon Customer
good product

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Original Score Arrangement

  • Sales Rank: #7617929 in Books
  • Published on: 1993
  • Format: Import
  • Binding: Sheet music
  • 63 pages

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