Download PDF Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton

Download PDF Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton

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Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton

Download PDF Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton

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Many people think that what the addict needs is willpower, but nothing could be further from the truth: When a person has already lost control over a drug or activity, attempts to control its use almost never work. Because the source of addiction isn't the drug or activity itself but a desire for a mood changer, successful recovery means ultimately changing the way we live, giving up the addictive life-style. Willpower's Not Enough will show you how to change your life-style and to recover from your addiction.

• Sales Rank: #108032 in Books
• Brand: Washton, Arnold M./ Boundy, Donn
• Published on: 1990-09-26
• Released on: 1990-09-26
• Original language: English
• Number of items: 1
• Dimensions: 8.00" h x .65" w x 5.31" l, .48 pounds
• Binding: Paperback
• 288 pages

About the Author

Arnold M. Washton, Ph.D., is founder and executive director of Recovery Options (www.recoveryoptions.us), a private addiction treatment practice located in New York City and Princeton, New Jersey. An internationally recognized addiction psychologist and book author, Dr. Washton has developed an directed several well-known substance abuse treatment programs and has served as consultant to professional sports teams, government agencies, and major corporations.

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Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton PDF

Willpower's Not Enough: Recovering from Addictions of Every KindBy Arnold M. Washton PDF

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Download PDF Big Data Science & Analytics: A Hands-On Approach, by Arshdeep Bahga Vijay Madisetti

Download PDF Big Data Science & Analytics: A Hands-On Approach, by Arshdeep Bahga Vijay Madisetti

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About the Author

Arshdeep Bahga is a Research Scientist with Georgia Institute of Technology. His research interests include cloud computing and big data analytics. Arshdeep has authored several scientific publications in peer-reviewed journals in the areas of cloud computing and big data. Vijay Madisetti is a Professor of Electrical and Computer Engineering at Georgia Institute of Technology. Vijay is a Fellow of the IEEE, and received the 2006 Terman Medal from the American Society of Engineering Education and HP Corporation.

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Product details

Paperback: 542 pages

Publisher: VPT; 1 edition (April 15, 2016)

Language: English

ISBN-10: 0996025537

ISBN-13: 978-0996025539

Product Dimensions:

7 x 1.2 x 10 inches

Shipping Weight: 2 pounds (View shipping rates and policies)

Average Customer Review:

4.0 out of 5 stars

7 customer reviews

Amazon Best Sellers Rank:

#604,433 in Books (See Top 100 in Books)

There are very few comprehensive and current books about the broadrange of Big Data Analytics which are suitable for use as universitytextbooks for the the subject. Bahga and Madisetti's book is anexception, introducing the characteristics of Big Data projects,surveying modern analytic concepts and methods, and including avariety of illustrative and relevant case studies. While not goinginto great depth on the use of specific software tools, the bookdoes provide enough introductory guidance for further explorationof such topics as Hadoop, NoSQL, and many of their related toolsfor data management and analysis. Additional tool-specific referencescan then be used to augment their coverage.The authors' explanations are clear with numerous helpful diagramsand code examples using Python and other programs. They includebrief instructions for using online Big Data services such as thoseprovided by Hortonworks, Cloudera, Amazon Web Services, and Azure.As a textbook, this reference is quite suitable for introductoryData Analytics courses, as it presents the "big picture" of thisemerging and rapidly evolving area of technology. The instructors'website for the book does not yet include sample presentations norstudent exercises, but these are easily created from the basematerial.The authors clearly prefer Python and related tools over R foranalysis, and there is little mention of the latter in the book.However, that too is easily augmented by instructors who wish toinclude R in their courses for students with less programmingexperience.

I love this book. It is so much of a straightforward "how-to". One of the better intro books out there.

Really nice, good price

Not user friendly.I appreciate the content in the book, but it does not really say how to connect and such basic stuff with which readers will get stuck with for years.

The book was used but it looks like new.A very good coverage of the subject. I would highly recommend this book for anyone interested in knowing more about Big Data.This is a good book in terms of "foundation".

I like the way authors have presented the analytics patterns. There are individual chapters focused on batch, real-time and interactive analytics, that provide a good overview of the big data frameworks. The case studies are very helpful. Overall the book is easy to read.

Comprehensive and organized. Lots of examples and case studies in this relatively new area of big data analytics.

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