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Gareth James
None
The Final Table
You’ve reached the business end of the tournament and you’re gunning for glory. However, you are now playing for the big bucks where one mistake could cost you thousands if not tens of thousands of dollars. You’ll undoubtedly feel nervous. Are you technically prepared? The Final Table will teach you how to make great decisions at every stage. It will also set out a program so you can learn how to continuously improve your final table strategy every single day. * How do you apply pressure as the chip leader? * What is risk premium and why is it so important? * What's the best way to study the complexities of final table play? The Final Table features detailed analysis of over 100 hand examples at different stages of play. These vary from full ring to short-handed and heads-up play and cover the most common preflop and postflop situations.
Thinking Rugby
None
Norwich City on This Day
Norwich City Miscellany is packed with fascinating facts, figures, trivia, stats, stories, and anecdotes all relating to the history of Norwich City. From memorable matches and favorite sons, the book follows no set order, chronological or otherwise, but has plenty to keep any fanatic coming back for more—and is fully endorsed by the club.
An Introduction to Statistical Learning
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facil...
Witchcraft in Early Modern Scotland
This volume provides a valuable introduction to the key concepts of witchcraft and demonology through a detailed study of one of the best known and most notorious episodes of Scottish history, the North Berwick witch hunt, in which King James was involved as alleged victim, interrogator, judge and demonologist. It provides hitherto unpublished and inaccessible material from the legal documentation of the trials in a way that makes the material fully comprehensible, as well as full texts of the pamphlet News from Scotland and James' Demonology, all in a readable, modernised, scholarly form. Full introductory sections and supporting notes provide information about the contexts needed to understand the texts: court politics, social history and culture, religious changes, law and the workings of the court, and the history of witchcraft prosecutions in Scotland before 1590. The book also brings to bear on this material current scholarship on the history of European witchcraft.
Purposeful Practice for Poker
So, you want to get better at poker? You are committed to this and you are prepared to spend time on it. You ask advice and what do people tell you? Probably something along the lines of “just keep working on it and you’ll get there.” This is wrong. “Just working on it” will not help you. Randomly analysing hands, watching poker on TV or vaguely looking at equity equations won’t cut it. The only approach that will work is the right sort of practice based on a relatively new area of psychological investigation – the science of expertise. This book identifies precisely what this “right sort of practice” entails. It is based around what has become known as purposeful practice. Purposeful practice is the gold standard for anyone who wishes to take full advantage of the remarkable adaptability of the human brain and is the fast track route to improving your poker skills. This book will give you: * A clear theoretical understanding of the science of purposeful practice * Numerous techniques by which this can be adapted to improvement at poker * Specific exercises designed to create an infallible Plan for Poker Improvement
An Introduction to Statistical Learning
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods pr...
I said I love. That is the promise
I said I love. That is the promise. The tvideo politics of Jean-Luc Godard konzentriert sich auf die oft vernachlässigte Arbeit des Filmemachers mit Fernsehen und Video, einschließlich der zentralen Zusammenarbeit mit Anne-Marie Miéville in den 1970gern. Ausgangspunkt ist die These, dass Godards Begegnung mit TVideo entscheidende Reformulierungen des ästhetischen, politischen und geschlechtsspezifischen Verständnisses von Bild und Ton generierte. Was hier 'TVideopolitk' genannt wird bezieht seine politische Kraft von der Entnahme der Bilder aus einer Ökonomie der Reproduktion und dem Erkennen ihrer Funktion in einer Ökonomie der Produktion und Distribution. Die Beiträge analysieren F...
An Introduction to Statistical Learning
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods pr...
