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Author: Asiel Corpus
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 196
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Book Description
Are you a Yu-Gi-Oh! duelist looking to take your game to the next level? Would you like to know in advance if your strategy is leading you to success? Do you wish there was a way to test and evaluate a thousand Yu-Gi-Oh! hands in a matter of seconds? If you answered yes to any of these questions, then follow me through these pages to discover probability and programming skills that you can immediately apply to separate yourself from the average duelists. Some things you will learn in this book are: The history of Yu-Gi-Oh! Trading Card Game through almost 2 decades of duels. Mathematics and probability lessons to evaluate the consistency of your Yu-Gi-Oh! strategies. Programming experience and full codes that you can immediately apply to simulate thousands of Yu-Gi-Oh! hands in a matter of seconds. Techniques to predict the performance of your favorite strategy in a tournament or against the possible disruptions of the opponent. A new way to visualize the interactions that exist among the cards in your deck. Even more! This knowledge will evolve the way you prepare for a Yu-Gi-Oh! tournament. All you need to get it are basic mathematics, a computer, and the will to succeed. Previous programming experience is not needed. Your move
Author: Asiel Corpus
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 196
Get Book Here
Book Description
Are you a Yu-Gi-Oh! duelist looking to take your game to the next level? Would you like to know in advance if your strategy is leading you to success? Do you wish there was a way to test and evaluate a thousand Yu-Gi-Oh! hands in a matter of seconds? If you answered yes to any of these questions, then follow me through these pages to discover probability and programming skills that you can immediately apply to separate yourself from the average duelists. Some things you will learn in this book are: The history of Yu-Gi-Oh! Trading Card Game through almost 2 decades of duels. Mathematics and probability lessons to evaluate the consistency of your Yu-Gi-Oh! strategies. Programming experience and full codes that you can immediately apply to simulate thousands of Yu-Gi-Oh! hands in a matter of seconds. Techniques to predict the performance of your favorite strategy in a tournament or against the possible disruptions of the opponent. A new way to visualize the interactions that exist among the cards in your deck. Even more! This knowledge will evolve the way you prepare for a Yu-Gi-Oh! tournament. All you need to get it are basic mathematics, a computer, and the will to succeed. Previous programming experience is not needed. Your move
Author: Bernard Rosner
Publisher: Cengage Learning
ISBN: 9781305268920
Category : Mathematics
Languages : en
Pages : 0
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Book Description
Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Patrick Hoban
Publisher: Createspace Independent Publishing Platform
ISBN: 9781523990719
Category :
Languages : en
Pages : 470
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Book Description
This book will teach a systematic approach to winning tournaments that we will be able to apply to any format, independent of context. While our focus will be on winning tournaments, much of what we talk about can be applied in a broader sense and the scope of what is written extends to many disciplines. We will take from areas such as philosophy, economics, psychology, business, and many of my own personal experiences as a player. The first section of the book will introduce the framework that we will build on throughout the book. Patrick Chapin's "Theory of Everything" is commonly used as the framework for card theory. We are going to start off by taking a look at it, but then we are going to get into some of the problems with using it as a guiding framework. After discussing the problems it has, we are going to attempt to build a better guiding framework. The second section of the book will focus on self. Much of this section will focus on what it means to be rational. We will begin by ensuring that we have the proper tools to make good decisions at our disposal. Next we will explore the various biases that cloud our judgments. Then we will discuss ways we can guard ourselves against these biases and come up with some ways of thinking about things that can better guide our decisions. The final part of this section will deal with properly motivating ourselves to do what it takes to see success. The third section will focus on developing our circle. Our circle is our team. These are the people who will help us see success and who we will help see success. We are going to talk about the tools our circle will use and how to get the most out of those tools, as well as discuss the kind of people we want in our circle. In the fourth section we're going to get down to the ins and outs of technical play. We are going to be talking about the different kinds of resources within a game and about how our role varies within a game. Then we are going to discuss different approaches we can take with our plays to ensure that we are getting the most out of them. The final part of this section will talk about the right approach to have to tournaments to make sure we are on top of our game when the big day comes. The fifth section is going to focus on the mental aspects of the game. We are going to start off by talking about how to gauge our opponents' skill level so that we can adjust our plays and make them more effective. Then we are going to talk about how to get a read on our opponent's card and how to effectively get information out of them. After that we're going to talk about different ways of persuading our opponent into making the moves we want them to make. In the sixth section we will discuss effective deckbuilding. We will start off by discussing the deckbuilding philosophy and the first principles of deckbuilding. We will then discuss the various role cards can play in a game and talk about some shortcuts for evaluating them. Then we're going to talk about how probability affects our deckbuilding. After that we're going to build on the first principles of deckbuilding by introducing some deckbuilding rules to build consistent and powerful decks. We are also going to discuss deckbuilding curves that we can use to guide our choices. Finally we are going to discuss how to effectively side deck. In the final section we will discuss metagames. We will talk about how to identify shifts in the metagame and then move on to discussing some tournament strategies we can take to overcome the metagame. In the final chapter, we will come to understand how we can influence the format and plan for incremental development, so that we will be able to succeed throughout a format.
Author: Gordon S. Linoff
Publisher: John Wiley & Sons
ISBN: 0470952520
Category : Computers
Languages : en
Pages : 698
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Book Description
Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
Author: Sharon L. Lohr
Publisher: CRC Press
ISBN: 1000022544
Category : Mathematics
Languages : en
Pages : 613
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Book Description
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262331713
Category : Computers
Languages : en
Pages : 350
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Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: Mary Jackson
Publisher: John Wiley & Sons
ISBN: 0470061669
Category : Business & Economics
Languages : en
Pages : 276
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Book Description
This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author: Sanjeev Arora
Publisher: Cambridge University Press
ISBN: 0521424267
Category : Computers
Languages : en
Pages : 609
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Book Description
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Author: Sally A. Fincher
Publisher:
ISBN: 1108756212
Category : Computers
Languages : en
Pages : 924
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Book Description
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Author: Qiang Yang
Publisher: Springer Nature
ISBN: 3030630765
Category : Computers
Languages : en
Pages : 291
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Book Description
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
