icleakgate: November 2012

Friday, November 30, 2012

Ebook Breaking the Cycle: Free Yourself from Sex Addiction, Porn Obsession, and Shame

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Wednesday, November 28, 2012

PDF Download The Rolex Story

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The Rolex Story

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Thursday, November 22, 2012

Free PDF The Secret Lives of Hoarders: True Stories of Tackling Extreme Clutter

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The Secret Lives of Hoarders: True Stories of Tackling Extreme Clutter

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About the Author The idea for Clutter Cleaner came to Matt Paxton as a way to pay rent, with the first project being his own grandmother's basement. As the business grew, Matt's philosophy of "no job too extreme" took hold. Paxton and eventually garnered a following large enough to land him and his tell-it-like-it-is approach onto A&E's hit reality series Hoarders. Before moving to television, Paxton worked as a Federal Reserve Analyst and an inventor. A freelance writer and editor, Phaedra Hise specializes in her cultural writings. She has worked for CNN Money, was a former staff writer for Inc., and a popular food editor for Virginia Living. Her work has been collected in the Washington Post, Wall Street Journal, Glamour, Salon, Forbes, Popular Mechanics and Smithsonian. She lives in Virginia, with her husband. Read morePaperback=256 pages. Publisher=TarcherPerigee; 1 edition (May 3, 2011). Language=English. ISBN-10=9780399536656. ISBN-13=978-0399536656. ASIN=0399536655. Product Dimensions=5.4 x 0.5 x 8.2 inches. Shipping Weight=8 ounces (View shipping rates and policies). Average Customer Review=4.7 out of 5 stars 81 customer reviews. Amazon Best Sellers RankHoardingObsessive Compulsive Disorder (OCD)Compulsive Behavior=#283,137 in Books (See Top 100 in Books) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #40 in Books > Health, Fitness & Dieting > Addiction & Recovery > #140 in Books > Health, Fitness & Dieting > Addiction & Recovery > #247 in Books > Health, Fitness & Dieting > Mental Health >.

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Wednesday, November 21, 2012

Ebook Financial Freedom with Real Estate Investing: The Blueprint To Quitting Your Job With Real Estate - Even Without Experience Or Cash

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Financial Freedom with Real Estate Investing: The Blueprint To Quitting Your Job With Real Estate - Even Without Experience Or Cash

Ebook Financial Freedom with Real Estate Investing: The Blueprint To Quitting Your Job With Real Estate - Even Without Experience Or Cash

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About the Author Michael Blank is the leading authority on apartment building investing in the United States. He’s passionate about helping others become financially free in 3-5 years by investing in apartment building deals with a special focus on raising money. Through his investment company, he controls over $24 million in performing multifamily assets all over the United States and has raised over $6M. In addition to his own investing activities, he’s helped students purchase over 1600 units valued at over $55M through his unique “Deal Desk” and training programs. He’s the author of the best-selling book “Financial Freedom With Real Estate Investing” and the host of the popular "Apartment Building Investing" podcast. To learn more about Michael, please visit- www.TheMichaelBlank.com. Read morePaperback=258 pages. Publisher=CreateSpace Independent Publishing Platform (July 16, 2018). Language=English. ISBN-10=1986532364. ISBN-13=978-1986532365. Product Dimensions=6 x 0.6 x 9 inches. Shipping Weight=1 pounds (View shipping rates and policies). Average Customer Review=4.8 out of 5 stars 37 customer reviews. Amazon Best Sellers RankBuying & Selling HomesReal Estate=#4,235 in Books (See Top 100 in Books) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #9 in Books > Business & Money > Real Estate > #13 in Books > Business & Money > Investing >.

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Saturday, November 17, 2012

Free PDF Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback))

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Amazon.com Review This book provides a solid statistical foundation for neural networks from a pattern recognition perspective. The focus is on the types of neural nets that are most widely used in practical applications, such as the multi-layer perceptron and radial basis function networks. Rather than trying to cover many different types of neural networks, Bishop thoroughly covers topics such as density estimation, error functions, parameter optimization algorithms, data pre-processing, and Bayesian methods. All topics are organized well and all mathematical foundations are explained before being applied to neural networks. The text is suitable for a graduate or advanced undergraduate level course on neural networks or for practitioners interested in applying neural networks to real-world problems. The reader is assumed to have the level of math knowledge necessary for an undergraduate science degree. Read more Review "Should be in the library of any student, teacher, or researcher with a keen interest in modern statistical methods, a large volume of meaningful data to analyze (including simulations), and a fast workstation with good numerical and graphical capabilities."--Journal of the American Statistical Association "....should be warmly welcomed by the neural network and pattern recognition communities. Bishop can be recommended to students and engineers in computer science."--Computer Journal "An excellent and rigorous treatment of a number of neural network architectures."--Journal of Mathematical Psychology "Its sequential organization and end-of-chapter exercises make it an ideal mental gymnasium. The author has eschewed biological metaphor and sweeping statements in favour of welcome mathematical rigour."--Scientific Computing World "A first-class book for the researcher in statistical pattern recognition."--Times Higher Education Supplement "Although there has been a plethora of books on neural networks published in the last five years, none has really addressed the subject with the necessary mathematical rigour. Professor Bishop's book is the first textbook to provide a clear and comprehensive treatment of the mathematical principles underlying the main types of artificial neural networks."--Dr. L. Tarassenko and Professor J.M. Brady, Department of Engineering Science, University of Oxford "There has been an acute need for authoritative textbooks in neural networks that explain the main ideas clearly and consistently using the basic tools of linear algebra, calculus, and simple probability theory. There have been many attempts to provide such a text, but until now, none has succeeded. This is a serious attempt at providing such an ideal textbook. By concentrating on pattern recognition aspects of neural works, the author is able to treat many important topics in much greater depth. The most important contribution of the book is the solid statistical pattern recognition approach, a sign of increasing maturity in the field."--Mathematical Reviews "The following keywords concisely indicate the contents: artificial neural networks, statistical pattern recognition, probability density estimation, single-layer networks, multi-layer perception, radial basis functions, error functions, parameter optimization algorithms, Bayesian techniques, etc. The book is aimed at researchers and practitioners. It can also be used as the primary text in a course for graduate students (129 graded exercises!)."--Industrial Mathematics Read more See all Editorial ReviewsSeries=Advanced Texts in Econometrics (Paperback). Paperback=504 pages. Publisher=Clarendon Press; 1 edition (January 18, 1996). Language=English. ISBN-10=0198538642. ISBN-13=978-0198538646. Product Dimensions=9.2 x 1.1 x 6.2 inches. Shipping Weight=1.9 pounds (View shipping rates and policies). Average Customer Review=4.0 out of 5 stars 24 customer reviews. Amazon Best Sellers RankComputer Vision & Pattern RecognitionNeural NetworksHuman-Computer Interaction=#63,008 in Books (See Top 100 in Books) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #15 in Books > Computers & Technology > Computer Science > AI & Machine Learning > #27 in Books > Computers & Technology > Computer Science > AI & Machine Learning > #42 in Books > Computers & Technology > Computer Science >.

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Monday, November 12, 2012

Download Conan Omnibus Volume 2: City of Thieves

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Conan Omnibus Volume 2: City of Thieves

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Dark Horse’s critically acclaimed Conan, now available in an affordable, value-priced omnibus! Showcasing the conclusion of writer Kurt Busiek and artist Cary Nord’s groundbreaking work on the series, plus the inaugurations of fan favorites Timothy Truman and Tomás Giorello, this volume includes adaptations of “The Tower of the Elephant,” “The Hall of the Dead,” and “Rogues in the House.” Witness the Cimmerian navigating some of the darkest corners of his world, from ancient haunted ruins to the seedy alleys of Zamora—the infamous City of Thieves—and confronting corrupt officials, grotesque monsters, and mind-bending horror. Also featured is a special guest appearance by renowned illustrator Michael Wm. Kaluta, and a three-issue story arc penned by Hellboy creator and comics legend Mike Mignola!File Size=245353 KB. Print Length=472 pages. Publisher=Dark Horse Books (May 2, 2017). Publication Date=May 2, 2017. Sold by=Amazon Digital Services LLC. Language=English. ASIN=B06XK24SMG. Text-to-Speech=Not enabled. X-Ray=Not Enabled. Word Wise=Not Enabled. Lending=Not Enabled. Enhanced Typesetting=Not Enabled. Amazon Best Sellers RankFantasy Graphic NovelsTV, Movie, Video Game AdaptationsDark Horse=#189,116 Paid in Kindle Store (See Top 100 Paid in Kindle Store) .zg_hrsr { margin: 0; padding: 0; list-style-type: none; } .zg_hrsr_item { margin: 0 0 0 10px; } .zg_hrsr_rank { display: inline-block; width: 80px; text-align: right; } #325 in Kindle Store > Kindle eBooks > Comics, Manga & Graphic Novels > #334 in Kindle Store > Kindle eBooks > Science Fiction & Fantasy > Fantasy > #492 in Books > Comics & Graphic Novels > Publishers >.

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