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It was a summer afternoon in Chicago. 1995. Across from me was Dr. William Horton. We talked NLP, influence, everything there was to talk about motivating others to do things they need to be doing in life. Ten years later after having taken two divergent paths to teach others how to persuade and how to master the art of mind control, we meet again here, in Dr. Horton’s new book on Mind Control. His desire for all techniques and strategies to be used to help people be better, be happier, be healthier shines through a vast array of tools you can use to influence others.
You’ll learn how to anchor resourceful states in others, build rapport, and even get a list of Dr. Horton’s “bypass words.” I’ll save that surprise for you.
Where else are you going to get all of the NLP techniques designed to influence others crystallized into one workable tome? They are here. NLPers in particular will enjoy this journey because it will be like coming home.
What Dr. Horton does so well is make some of the more seemingly complex elements of NLP easy to understand and far more importantly apply.
Enjoy your journey and take this book with you on all of yours.
The only problem I have with this book is I wish I would have written it!

—Kevin Hogan, author of The Science of Influence and The Psychology of Persuasion

• Sales Rank: #340327 in eBooks
• Published on: 2013-04-28
• Released on: 2013-04-28
• Format: Kindle eBook

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Ebook The Volatility Surface: A Practitioner's Guide (Wiley Finance)By Jim Gatheral

Ebook The Volatility Surface: A Practitioner's Guide (Wiley Finance)By Jim Gatheral

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Praise for The Volatility Surface


"I'm thrilled by the appearance of Jim Gatheral's new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral's book, by contrast, is accessible and practical. It successfully charts a middle ground between specific examples and general models--achieving remarkable clarity without giving up sophistication, depth, or breadth."
--Robert V. Kohn, Professor of Mathematics and Chair, Mathematical Finance Committee, Courant Institute of Mathematical Sciences, New York University

"Concise yet comprehensive, equally attentive to both theory and phenomena, this book provides an unsurpassed account of the peculiarities of the implied volatility surface, its consequences for pricing and hedging, and the theories that struggle to explain it."
--Emanuel Derman, author of My Life as a Quant

"Jim Gatheral is the wiliest practitioner in the business. This very fine book is an outgrowth of the lecture notes prepared for one of the most popular classes at NYU's esteemed Courant Institute. The topics covered are at the forefront of research in mathematical finance and the author's treatment of them is simply the best available in this form."
--Peter Carr, PhD, head of Quantitative Financial Research, Bloomberg LP Director of the Masters Program in Mathematical Finance, New York University

"Jim Gatheral is an acknowledged master of advanced modeling for derivatives. In The Volatility Surface he reveals the secrets of dealing with the most important but most elusive of financial quantities, volatility."
--Paul Wilmott, author and mathematician

"As a teacher in the field of mathematical finance, I welcome Jim Gatheral's book as a significant development. Written by a Wall Street practitioner with extensive market and teaching experience, The Volatility Surface gives students access to a level of knowledge on derivatives which was not previously available. I strongly recommend it."
--Marco Avellaneda, Director, Division of Mathematical Finance Courant Institute, New York University

"Jim Gatheral could not have written a better book."
--Bruno Dupire, winner of the 2006 Wilmott Cutting Edge Research Award Quantitative Research, Bloomberg LP

• Sales Rank: #1060857 in eBooks
• Published on: 2011-03-10
• Released on: 2011-03-10
• Format: Kindle eBook

Review
“…I do recommend this book…” (Zentralblatt MATH , Vol. 1118 2007/20)

From the Inside Flap
Understanding the volatility surface is a key objective for both practitioners and academics in the field of finance. Implied volatilities evolve randomly and so models of the volatility surface—which is formed from implied volatilities of all strikes and expirations—need to explicitly reflect this randomness in order to accurately price, trade, and manage the risk of derivative products.

Author and financial professional Jim Gatheral is intimately familiar with these issues and, in The Volatility Surface, he shares his many years of knowledge and experience to help make sense of it all. Written by a practitionerfor practitioners, The Volatility Surface examines why options are priced as they are and—starting from a powerful representation of implied volatility in terms of a weighted average ofrealized volatilities—explores the implications of various popular models for pricing.

The first half of this book focuses on setting up the theoretical framework, while the later chapters are oriented towards practical applications. Informative and accessible, The Volatility Surface:

• Contains a detailed derivation of the Heston model and explanations of many other popular models such as SVJ, SVJJ, SABR, and CreditGrades
• Discusses the characteristics of various types of exotic options from the humble barrier option to the super exotic Napoleon
• Exhaustively covers volatility derivatives with elegant and robust presentations of the latest research
• Examines performance of exotic cliquet contracts through in-depth case studies of actual bonds that have already matured

The purpose of The Volatility Surface is not to just present results, but to provide you with ways of thinking about and solving practical problems that should have many other areas of application. So by the time you finish reading this guide, you'll have a firm understanding of volatility surface modeling as well as a better idea of how you can apply the results of these models to real-world situations.

Filled with in-depth insights, expert advice, and real-world examples, The Volatility Surface will get you up to speed on the latest theories underlying options pricing as well as familiarize you with the history and practice of trading in the equity derivatives markets.

From the Back Cover
Praise for The Volatility Surface

"I'm thrilled by the appearance of Jim Gatheral's new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral's book, by contrast, is accessible and practical. It successfully charts a middle ground between specific examples and general models—achieving remarkable clarity without giving up sophistication, depth, or breadth."
—Robert V. Kohn, Professor of Mathematics and Chair, Mathematical Finance Committee, Courant Institute of Mathematical Sciences, New York University

"Concise yet comprehensive, equally attentive to both theory and phenomena, this book provides an unsurpassed account of the peculiarities of the implied volatility surface, its consequences for pricing and hedging, and the theories that struggle to explain it."
—Emanuel Derman, author of My Life as a Quant

"Jim Gatheral is the wiliest practitioner in the business. This very fine book is an outgrowth of the lecture notes prepared for one of the most popular classes at NYU's esteemed Courant Institute. The topics covered are at the forefront of research in mathematical finance and the author's treatment of them is simply the best available in this form."
—Peter Carr, PhD, head of Quantitative Financial Research, Bloomberg LP Director of the Masters Program in Mathematical Finance, New York University

"Jim Gatheral is an acknowledged master of advanced modeling for derivatives. In The Volatility Surface he reveals the secrets of dealing with the most important but most elusive of financial quantities, volatility."
—Paul Wilmott, author and mathematician

"As a teacher in the field of mathematical finance, I welcome Jim Gatheral's book as a significant development. Written by a Wall Street practitioner with extensive market and teaching experience, The Volatility Surface gives students access to a level of knowledge on derivatives which was not previously available. I strongly recommend it."
—Marco Avellaneda, Director, Division of Mathematical Finance Courant Institute, New York University

"Jim Gatheral could not have written a better book."
—Bruno Dupire, winner of the 2006 Wilmott Cutting Edge Research Award Quantitative Research, Bloomberg LP

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Download C++ For Game Programmers (Charles River Media Game Development)By Noel Llopis

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C++ is the primary language used in game development; however, game programming has a unique set of challenges, which general application development techniques and recommendations don't apply to. Written to address this issue, C++ for Game Programmers provides practical suggestions for what C++ features to use in game development and why. Many of the misconceptions of C++ are clarified, and programmers learn the most effective methods for using the language to create games. This is primarily a book about ideas and concepts: it is not just a source of C++ code to use in your game project. Instead, C++ for Game Programmers covers how things work from a game-development perspective, and provides practical rules to follow. It points out the most effective C++ practices and steers developers away from the potentially dangerous ones. It describes common C++ techniques to solve specific problems faced by most developers, and focuses on techniques that have been proven in real games. Additionally, specific new technologies such as STL are covered in detail, along with the challenges specific to different platforms such as PCs or game consoles. The techniques presented apply to all aspects of game programming, including graphics, physics, and AI. C++ for Game Programmers is the perfect resource for game programmers looking to perfect their C++ skills, and experienced programmers interested in entering the game industry. Graphics, embedded systems, and real-time systems programmers facing the same challenges as game programmers will also benefit from the ideas and techniques covered.

• Sales Rank: #1670499 in Books
• Brand: Brand: Charles River Media
• Published on: 2003-04
• Original language: English
• Number of items: 1
• Dimensions: 1.20" h x 7.40" w x 9.16" l,
• Binding: Paperback
• 412 pages

Features

• Used Book in Good Condition

About the Author
Noel Llopis (Timonium, MD) is a software engineer at Day 1 Studios. He developed the technology for the game MechAssault and is now busy researching and implementing the technology for upcoming games. He holds a B.S. in Computer Engineering from the University of Massachusetts Amherst, and an M.S. in Computer Science from the University of North Carolina at Chapel Hill. He is also is a member of the Gamasutra editorial advisory board, and has written several articles on programming techniques in the Game Programming Gems series. He is a regular speaker at the Game Developers Conference.

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Ebook Creating Walkable Places: Compact Mixed-Use Solutions

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• Published on: 1656
• Binding: Hardcover

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Free Download Jurassic IslandBy Viktor Zarkov

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• Sales Rank: #865261 in Books
• Published on: 2015-10-23
• Original language: English
• Number of items: 1
• Dimensions: 9.00" h x .33" w x 6.00" l, .45 pounds
• Binding: Paperback
• 132 pages

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Free PDF A China PassageBy John Kenneth Galbraith

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In the autumn of 1972, John Kenneth Galbraith, in company with his two predecessor presidents of the American Economic Association, was invited to visit China. The purpose: a privileged view of the Chinese economy. The results are in this book. But Mr Galbraith had another idea; it was to go beyond economics and tell of everything a visitor to the Middle Kingdom does, sees, and thinks from the moment he leaves home until he is back again. And here it all is . . .

• Sales Rank: #2405446 in Books
• Published on: 1973
• Number of items: 2
• Binding: Hardcover
• 143 pages

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With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft's accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to provision, configure, monitor, troubleshoot, and use HDInsight, even if you're new to big data analytics. Each short, easy lesson builds on all that's come before: you'll learn all of HDInsight's essentials as you solve real data analytics problems. Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours covers all this, and much more:

• Introduction of Big Data, NoSQL systems, its Business Value Proposition and use cases examples
• Introduction to Hadoop, Architecture, Ecosystem and Microsoft HDInsight
• Getting to know Hadoop 2.0 and the innovations it provides like HDFS2 and YARN
• Quickly installing, configuring, and monitoring Hadoop (HDInsight) clusters in the cloud and automating cluster provisioning
• Customize the HDInsight cluster and install additional Hadoop ecosystem projects using Script Actions
• Administering HDInsight from the Hadoop command prompt or Microsoft PowerShell
• Using the Microsoft Azure HDInsight Emulator for learning or development
• Understanding HDFS, HDFS vs. Azure Blob Storage, MapReduce Job Framework and Job Execution Pipeline
• Doing big data analytics with MapReduce, writing your MapReduce programs in your choice of .NET programming language such as C#
• Using Hive for big data analytics, demonstrate end to end scenario and how Apache Tez improves the performance several folds
• Consuming HDInsight data from Microsoft BI Tools over Hive ODBC Driver - Using HDInsight with Microsoft BI and Power BI to simplify data integration, analysis, and reporting
• Using PIG for big data transformation workflows step by step
• Apache HBase on HDInsight, its architecture, data model, HBase vs. Hive, programmatically managing HBase data with C# and Apache Phoenix
• Using Sqoop or SSIS (SQL Server Integration Services) to move data to/from HDInsight and build data integration workflows for transferring data
• Using Oozie for scheduling, co-ordination and managing data processing workflows in HDInsight cluster
• Using R programming language with HDInsight for performing statistical computing on Big Data sets
• Using Apache Spark's in-memory computation model to run big data analytics up to 100 times faster than Hadoop MapReduce
• Perform real-time Stream Analytics on high-velocity big data streams with Storm
• Integration of Enterprise Data Warehouse with Hadoop and Microsoft Analytics Platform System (APS), formally known as SQL Server Parallel Data Warehouse (PDW)

Step-by-step instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid problems. By the time you're finished, you'll be comfortable going beyond the book to create any HDInsight app you can imagine!

• Sales Rank: #659695 in Books
• Published on: 2015-11-18
• Original language: English
• Number of items: 1
• Dimensions: 8.90" h x 1.40" w x 7.00" l, .0 pounds
• Binding: Paperback
• 592 pages

About the Author
Arshad Ali has more than 13 years of experience in the computer industry. As a DB/DW/BI consultant in an end-to-end delivery role, he has been working on several enterprise-scale data warehousing and analytics projects for enabling and developing business intelligence and analytic solutions. He specializes in database, data warehousing, and business intelligence/analytics application design, development, and deployment at the enterprise level. He frequently works with SQL Server, Microsoft Analytics Platform System (APS, or formally known as SQL Server Parallel Data Warehouse [PDW]), HDInsight (Hadoop, Hive, Pig, HBase, and so on), SSIS, SSRS, SSAS, Service Broker, MDS, DQS, SharePoint, and PPS. In the past, he has also handled performance optimization for several projects, with significant performance gain.

Arshad is a Microsoft Certified Solutions Expert (MCSE)–SQL Server 2012 Data Platform, and Microsoft Certified IT Professional (MCITP) in Microsoft SQL Server 2008–Database Development, Data Administration, and Business Intelligence. He is also certified on ITIL 2011 foundation.

He has worked in developing applications in VB, ASP, .NET, ASP.NET, and C#. He is a Microsoft Certified Application Developer (MCAD) and Microsoft Certified Solution Developer (MCSD) for the .NET platform in Web, Windows, and Enterprise.

Arshad has presented at several technical events and has written more than 200 articles related to DB, DW, BI, and BA technologies, best practices, processes, and performance optimization techniques on SQL Server, Hadoop, and related technologies. His articles have been published on several prominent sites.

On the educational front, Arshad holds a Master in Computer Applications degree and a Master in Business Administration in IT degree.

Arshad can be reached at arshad.ali@live.in, or visit http://arshadali.blogspot.in/ to connect with him.

 

Manpreet Singh is a consultant and author with extensive expertise in architecture, design, and implementation of business intelligence and Big Data analytics solutions. He is passionate about enabling businesses to derive valuable insights from their data.

Manpreet has been working on Microsoft technologies for more than 8 years, with a strong focus on Microsoft Business Intelligence Stack, SharePoint BI, and Microsoft’s Big Data Analytics Platforms (Analytics Platform System and HDInsight). He also specializes in Mobile Business Intelligence solution development and has helped businesses deliver a consolidated view of their data to their mobile workforces.

Manpreet has coauthored books and technical articles on Microsoft technologies, focusing on the development of data analytics and visualization solutions with the Microsoft BI Stack and SharePoint. He holds a degree in computer science and engineering from Panjab University, India.

Manpreet can be reached at manpreet.singh3@hotmail.com. 

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