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• 1: Formulas in Excel
• 2: Logical Functions
• 3: Text Functions
• 4: Date and Time Functions
• 5: Basic Statistical Functions
• 6: Mathematical Functions
• 7: Basic Financial Functions
• 8: Database Functions
• 9: Lookup and Reference Functions
• 10: Conditional Formatting with Formulas
• 11: Working with Array Formulas
• 12: Special Solutions with Formulas
• 13: User-defined Functions 14:Examples
• 15: Other Features Appendix: Excel Interface Guide Index.
• (source: Nielsen Book Data)

In this completely updated edition covering Excel 2019, previous versions, and Office 365, Microsoft Excel Functions Formulas 5/E demonstrates the secrets of Excel through the use of practical and useful examples in a quick reference format. Easy to use and equipped with a variety of functions, Microsoft Excel is the tool of choice when it comes to crunching numbers, building charts, and analyzing tables. The book's extensive examples and added video tutorials make it an excellent resource for all Excel users who want to understand, create, and apply formulas. Experienced users will also find Microsoft Excel Functions & Formulas 5/E an excellent reference for many of the program's advanced formulas and functions. The text is easy to understand with numerous step-by-step instructions and the actual, ready to use, Excel screenshots of the input and output from the formulas. The book includes companion files with video tutorials, over 250 worksheet files of examples for numerous functions, formulas, and all the figures from the text. FEATURES: Includes companion files with video tutorials, over 250 Excel worksheet examples, and all of the figures from the text (including 4-color) Completely updated to cover Microsoft Excel 2019, previous versions, and Office 365 Saves hundreds of hours with the latest Excel tips, worksheets, and shortcuts Written by a proven author with Microsoft Valued Professional(MVP) status The Companion Files are also available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.
(source: Nielsen Book Data)

• 1: Formulas in Excel
• 2: Logical Functions
• 3: Text Functions
• 4: Date and Time Functions
• 5: Basic Statistical Functions
• 6: Mathematical Functions
• 7: Basic Financial Functions
• 8: Database Functions
• 9: Lookup and Reference Functions
• 10: Conditional Formatting with Formulas
• 11: Working with Array Formulas
• 12: Special Solutions with Formulas
• 13: User-defined Functions 14:Examples
• 15: Other Features Appendix: Excel Interface Guide Index.
• (source: Nielsen Book Data)

In this completely updated edition covering Excel 2019, previous versions, and Office 365, Microsoft Excel Functions Formulas 5/E demonstrates the secrets of Excel through the use of practical and useful examples in a quick reference format. Easy to use and equipped with a variety of functions, Microsoft Excel is the tool of choice when it comes to crunching numbers, building charts, and analyzing tables. The book's extensive examples and added video tutorials make it an excellent resource for all Excel users who want to understand, create, and apply formulas. Experienced users will also find Microsoft Excel Functions & Formulas 5/E an excellent reference for many of the program's advanced formulas and functions. The text is easy to understand with numerous step-by-step instructions and the actual, ready to use, Excel screenshots of the input and output from the formulas. The book includes companion files with video tutorials, over 250 worksheet files of examples for numerous functions, formulas, and all the figures from the text. FEATURES: Includes companion files with video tutorials, over 250 Excel worksheet examples, and all of the figures from the text (including 4-color) Completely updated to cover Microsoft Excel 2019, previous versions, and Office 365 Saves hundreds of hours with the latest Excel tips, worksheets, and shortcuts Written by a proven author with Microsoft Valued Professional(MVP) status The Companion Files are also available for downloading from the publisher by emailing proof of purchase to info@merclearning.com.
(source: Nielsen Book Data)

• Table of Contents Blockchain 101 Decentralization Symmetric cryptography Public key cryptography Introducing Bitcoin Bitcoin Network and Payments Bitcoin clients and APIs Alternative Coins Smart Contracts Etherium 101 Further Ethereum Setting up a development environment Development tools and clients Introducing Web3 Hyperledger Alternative Blockchain Solutions Blockchain - Outside of Currencies Scalability and Other Challenges Current Landscape and What's Next.
• (source: Nielsen Book Data)

Learn about cryptography and cryptocurrencies, so you can build highly secure, decentralized applications and conduct trusted in-app transactions. Key Features Get to grips with the underlying technical principles and implementations of blockchain Build powerful applications using Ethereum to secure transactions and create smart contracts Explore cryptography, mine cryptocurrencies, and solve scalability issues with this comprehensive guide Book DescriptionA blockchain is a distributed ledger that is replicated across multiple nodes and enables immutable, transparent and cryptographically secure record-keeping of transactions. The blockchain technology is the backbone of cryptocurrencies, and it has applications in finance, government, media and almost all other industries. Mastering Blockchain, Second Edition has been thoroughly updated and revised to provide a detailed description of this leading technology and its implementation in the real world. This book begins with the technical foundations of blockchain technology, teaching you the fundamentals of distributed systems, cryptography and how it keeps data secure. You will learn about the mechanisms behind cryptocurrencies and how to develop applications using Ethereum, a decentralized virtual machine. You will also explore different other blockchain solutions and get an introduction to business blockchain frameworks under Hyperledger, a collaborative effort for the advancement of blockchain technologies hosted by the Linux Foundation. You will also be shown how to implement blockchain solutions beyond currencies, Internet of Things with blockchain, blockchain scalability, and the future scope of this fascinating and powerful technology. What you will learn Master the theoretical and technical foundations of the blockchain technology Understand the concept of decentralization, its impact, and its relationship with blockchain technology Master how cryptography is used to secure data - with practical examples Grasp the inner workings of blockchain and the mechanisms behind bitcoin and alternative cryptocurrencies Understand the theoretical foundations of smart contracts Learn how Ethereum blockchain works and how to develop decentralized applications using Solidity and relevant development frameworks Identify and examine applications of the blockchain technology - beyond currencies Investigate alternative blockchain solutions including Hyperledger, Corda, and many more Explore research topics and the future scope of blockchain technology Who this book is forThis book will appeal to those who wish to build fast, highly secure, transactional applications. It targets people who are familiar with the concept of blockchain and are comfortable with a programming language.
(source: Nielsen Book Data)

• The Process of Industrial Bioethanol Production Explained by Self-Organised Maps / Miguel A. Sanz-Bobi, Pablo Ruiz and Julio Montes
• Towards a Further Understanding of the Robotic Darwinian PSO / Micael S. Couceiro, Fernando M. L. Martins, Filipe Clemente, Rui P. Rocha and Nuno M. F. Ferreira
• A Comparison Study Between Two Hyperspectral Clustering Methods: KFCM and PSO-FCM / Amin Alizadeh Naeini, Saeid Niazmardi, Shahin Rahmatollahi Namin, Farhad Samadzadegan and Saeid Homayouni
• Comparison of Classification Methods for Golf Putting Performance Analysis / J. Miguel A. Luz, Micael S. Couceiro, David Portugal, Rui P. Rocha and Hélder Araújo, et al.
• Switched Unfalsified Multicontroller Nonparametric Model Based Design / Fernando Coito, Luís Brito Palma and Fernando Costa
• Evolving Fuzzy Uncalibrated Visual Servoing for Mobile Robots / P. J. S. Gonçalves, P. J. F. Lopes, P. M. B. Torres and J. M. R. Sequeira

• Evaluating the Potential of Particle Swarm Optimization for Hyperspectral Image Clustering in Minimum Noise Fraction Feature Space / Shahin Rahmatollahi Namin, Amin Alizadeh Naeini and Farhad Samadzadegan
• On a Ball's Trajectory Model for Putting's Evaluation / Gonçalo Dias, Rui Mendes, Micael S. Couceiro, Carlos M. Figueiredo and J. Miguel A. Luz
• Efficient Discriminative Models for Proteomics with Simple and Optimized Features / Lionel Morgado, Carlos Pereira, Paula Veríssimo and António Dourado
• Meta-heuristics Self-Parameterization in a Multi-agent Scheduling System Using Case-Based Reasoning / Ivo Pereira, Ana Madureira and Paulo de Moura Oliveira
• Haptic-Based Robot Teleoperation: Interacting with Real Environments / Pedro Neto, Nélio Mourato and J. Norberto Pires
• Multi-agent Predictive Control with Application in Intelligent Infrastructures / J. M. Igreja, S. J. Costa, J. M. Lemos and F. M. Cadete
• Single-Objective Spreading Algorithm / E. J. Solteiro Pires, Luís Mendes, António M. Lopes, P. B. de Moura Oliveira and J. A. Tenreiro Machado

• Fault Tolerant Control Based on Adaptive LQG and Fuzzy Controllers / Carla Viveiros, Luis Brito Palma and José Manuel Igreja
• P2P Web Service Based System for Supporting Decision-Making in Cellular Manufacturing Scheduling / Maria Leonilde R. Varela, Rui Barbosa and Susana Costa
• Web-Based Decision Support System for Orders Planning / António Arrais-Castro, Maria Leonilde R. Varela and Sílvio Carmo-Silva
• Product Documentation Management Through REST-Based Web Service / Filipe Rocha, Maria Leonilde R. Varela and Sílvio Carmo-Silva
• Fuzzy Web Platform for Electrical Energy Losses Management / Gaspar Gonçalves Vieira, Maria Leonilde R. Varela and Rita A. Ribeiro
• Web System for Supporting Project Management / Cátia Filipa Veiga Alves, André Filipe Nogueira da Silva and Maria Leonilde R. Varela
• Generation Capacity Expansion Planning in Restructured Electricity Markets Using Genetic Algorithms / Adelino J. C. Pereira and João Tomé Saraiva

• Decision Making in Maintainability of High Risk Industrial Equipment / José Sobral and Luis Ferreira
• The Classification Platform Applied to Mammographic Images / P. J. S. Gonçalves
• On an Optimization Model for Approximate Nonnegative Matrix Factorization / Ana Maria de Almeida
• Random Walks in Electric Networks / D. M. L. D. Rasteiro
• Business Intelligence Tools / Jorge Bernardino and Marco Tereso
• Food Service Management Web Platform Based on XML Specification and Web Services / Pedro Sabioni, Vinícius Carneiro and Maria Leonilde R. Varela
• Differential Evolution on the Minimization of Thermal Residual Stresses in Functionally Graded Structures / T. A. N. Silva and M. A. R. Loja
• Magnetic Wheeled Climbing Robot: Design and Implementation / M. F. Silva, R. S. Barbosa and A. L. C. Oliveira
• Development of an AGV Controlled by Fuzzy Logic / Ramiro S. Barbosa, Manuel F. Silva and Dário J. Osório
• Affect Recognition / Raquel Faria and Ana Almeida
• Web 2.0: Tagging Usefulness / Joaquim Filipe P. Santos and Ana Almeida

• Multidimensional Scaling Analysis of Electricity Market Prices / Filipe Azevedo and J. Tenreiro Machado
• PCMAT Metadata Authoring Tool / Paulo Couto, Constantino Martins, Luiz Faria, Marta Fernandes and Eurico Carrapatoso
• Collaborative Broker for Distributed Energy Resources / João Carlos Ferreira, Alberto Rodrigues da Silva, Vítor Monteiro and João L. Afonso
• A Multidimensional Scaling Classification of Robotic Sensors / Miguel F. M. Lima and J. A. Tenreiro Machado
• Rough Set Theory: Data Mining Technique Applied to the Electrical Power System / C. I. Faustino Agreira, C. M. Machado Ferreira and F. P. Maciel Barbosa
• Tuning a Fractional Order Controller from a Heat Diffusion System Using a PSO Algorithm / Isabel S. Jesus and Ramiro S. Barbosa
• A Tool for Biomedical - Documents Classification Using Support Vector Machines / João Oliveira, Daniel Correia, Carlos Pereira, Paula Veríssimo and António Dourado

• Conflicts Management in Retail Systems with Self-Regulation / Bruno Magalhães and Ana Madureira
• Adaptive e-Learning Systems Foundational Issues of the ADAPT Project / Eduardo Pratas and Viriato M. Marques
• Recognizing Music Styles - An Approach Based on the Zipf-Mandelbrot Law / Viriato M. Marques and Cecília Reis
• A Platform for Peptidase Detection Based on Text Mining Techniques and Support Vector Machines / Daniel Correia, Carlos Pereira, Paula Veríssimo and António Dourado
• Optimal Configuration of Uniplanar-Unilateral External Fixators in Tibia Fractures / Luis Roseiro and Augusta Neto
• Identification of the Forces in the Suspension System of a Race Car Using Artificial Neural Networks / Luis Roseiro, Carlos Alcobia, Pedro Ferreira, Abderrahmane Baïri and Najib Laraqi, et al.
• Combinational Logic Circuits Design Tool for a Learning Management System / Cecília Reis and Viriato M. Marques
• Labeling Methods for the General Case of the Multi-objective Shortest Path Problem - A Computational Study / J. M. Paixão and J. L. Santos.

This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences. The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and present recent, original insights from their own experience in these fields.
(source: Nielsen Book Data)

• Chap. 1 Rethinking the Human-Agent Relationship: Which Social Cues Do Interactive Agents Really Need to Have?.- Chap. 2 Believability Through Psychosocial Behaviour: Creating Bots That Are More Engaging and Entertaining.- Chap. 3 Actor Bots.- Chap. 4 Embodied Conversational Agent Avatars in Virtual Worlds.- Chap. 5 Human-Like Combat Behaviour via Multiobjective Neuroevolution.- Chap. 6 Believable Bot Navigation via Playback of Human Traces.- Chap. 7 A Machine Consciousness Approach to the Design of Human-Like Bots.- Chap. 8 ConsScale FPS: Cognitive Integration for Improved Believability in Computer Game Bots.- Chap. 9 Assessing Believability.- Chap. 10 Making Diplomacy Bots Individual.- Chap. 11 Towards Imitation of Human Driving Style in Car Racing Games.
• (source: Nielsen Book Data)

We share our modern world with bots - chatbots to converse with, roombots to clean our houses, spambots to fill our e-mail inboxes, and medibots to assist our surgeons. This book is about computer game bots, virtual companions who accompany us in virtual worlds or sharpen our fighting skills. These bots must be believable, that is human players should believe they are interacting with entities operating at a human level - bots are more fun if they behave like we do. This book shows how to create believable bots that play computer games, and it discusses the implications of making them appear human. The chapters in this book present the state of the art in research on and development of game bots, and they also look beyond the design aspects to address deep questions: Is a bot that plays like a person intelligent? Does it have emotions? Is it conscious? The topic is inherently interdisciplinary, and the work draws from research and practice in many fields, such as design, creativity, entertainment, and graphics; learning, psychology, and sociology; artificial intelligence, embodiment, agents, machine learning, robotics, human-computer interaction, and artificial life; cognition and neuroscience; and evolutionary computing. The contributing authors are among the leading researchers and developers in this field, and most of the examples and case studies involve analysis of commercial products. The book will be of value to graduate students and academic researchers in artificial intelligence, and to engineers charged with the design of entertaining games.
(source: Nielsen Book Data)

• Chapter 1 Introduction
• Chapter 2 Analysis Process
• Chapter 3 How it Works
• Chapter 4 Goals
• Chapter 5 Visitor Analysis
• Chapter 6 Traffic Analysis
• Chapter 7 How People Use Content
• Chapter 8 Clickpath Analysis
• Chapter 9 Segmentation
• Chapter 10 Putting it Together
• Chapter 11 Testing
• Chapter 12 Measuring Behavior within Pages
• Chapter 13 AB Testing
• Chapter 14 Profiles
• Chapter 15 Culture
• Chapter 16 Conclusion.
• (source: Nielsen Book Data)

Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.
(source: Nielsen Book Data)

• Chapter 1: Project Initiation and Scoping
• Chapter 2: Introduction to General Ledger and Fusion Accounting Hub
• Chapter 3: Implementation Project plan using Functional Setup Manager
• Chapter 4: Enterprise Structure for Financials
• Chapter 5: Financials Reporting Structure: Charts of Accounts Structures, Calendars and Currencies
• Chapter 6: Implement Ledgers and Business Unit
• Chapter 7: Security & Audit in Fusion Applications
• Chapter 8: Journals, Budgets & Consolidation
• Chapter 9: Oracle Fusion Accounting Hub
• Chapter 10: Consolidation
• Chapter 11: Allocations Using Calculation Manager
• Chapter 12: Period Close
• Chapter 13: Building Financial Reports & Analysis Dashboards.
• (source: Nielsen Book Data)

Master Oracle Fusion General Ledger and Fusion Financials Accounting Hub Maintain a centralized, highly automated financial processing platform across your organization using Oracle Fusion Applications General Ledger and Financial Accounting Hub. This hands-on Oracle Press guide thoroughly explains the deployment process and illustrates every technique through a start-to-finish case study. Find out how to plan and carry out an end-to-end implementation, integrate data from disparate sources, build budgets and journals, handle ledger and subledger accounting, and distribute mission-critical information through reports and dashboards. Implementing Oracle Fusion Applications General Ledger & Financials Accounting Hub offers complete coverage of security, auditing, and consolidation. * Explore the capabilities of Oracle Fusion Applications General Ledger and Financials Accounting Hub * Configure, perform, and track a new implementation * Construct enterprise and financials reporting structures * Work with currencies, calendars, budgets, ledgers, and journals * Secure your system through authentication and authorization * Meet your enterprise's consolidation and elimination requirements * Transform and load data from external applications * Handle General Ledger revaluation, allocation, and period close * Build feature-rich financial reports and analysis dashboards.
(source: Nielsen Book Data)

• Preface xv Acknowledgments xix About the Author xxi 1 Introduction to Reinforcement and Systemic Machine Learning 1 1
• .1. Introduction 1 1
• .2. Supervised, Unsupervised, and Semisupervised Machine Learning 2 1
• .3. Traditional Learning Methods and History of Machine Learning 4 1
• .4. What Is Machine Learning? 7 1
• .5. Machine-Learning Problem 8 1
• .6. Learning Paradigms 9 1
• .7. Machine-Learning Techniques and Paradigms 12 1
• .8. What Is Reinforcement Learning? 14 1
• .9. Reinforcement Function and Environment Function 16 1
• .10. Need of Reinforcement Learning 17 1
• .11. Reinforcement Learning and Machine Intelligence 17 1
• .12. What Is Systemic Learning? 18 1
• .13. What Is Systemic Machine Learning? 18 1
• .14. Challenges in Systemic Machine Learning 19 1
• .15. Reinforcement Machine Learning and Systemic Machine Learning 19 1
• .16. Case Study Problem Detection in a Vehicle 20 1
• .17. Summary 20 2 Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning 23 2
• .1. Introduction 23 2
• .2. What Is Systemic Machine Learning? 27 2
• .3. Generalized Systemic Machine-Learning Framework 30 2
• .4. Multiperspective Decision Making and Multiperspective Learning 33 2
• .5. Dynamic and Interactive Decision Making 43 2
• .6. The Systemic Learning Framework 47 2
• .7. System Analysis 52 2
• .8. Case Study: Need of Systemic Learning in the Hospitality Industry 54 2
• .9. Summary 55 3 Reinforcement Learning 57 3
• .1. Introduction 57 3
• .2. Learning Agents 60 3
• .3. Returns and Reward Calculations 62 3
• .4. Reinforcement Learning and Adaptive Control 63 3
• .5. Dynamic Systems 66 3
• .6. Reinforcement Learning and Control 68 3
• .7. Markov Property and Markov Decision Process 68 3
• .8. Value Functions 69 3.8
• .1. Action and Value 70 3
• .9. Learning an Optimal Policy (Model-Based and Model-Free Methods) 70 3
• .10. Dynamic Programming 71 3
• .11. Adaptive Dynamic Programming 71 3
• .12. Example: Reinforcement Learning for Boxing Trainer 75 3
• .13. Summary 75 4 Systemic Machine Learning and Model 77 4
• .1. Introduction 77 4
• .2. A Framework for Systemic Learning 78 4
• .3. Capturing the Systemic View 86 4
• .4. Mathematical Representation of System Interactions 89 4
• .5. Impact Function 91 4
• .6. Decision-Impact Analysis 91 4
• .7. Summary 97 5 Inference and Information Integration 99 5
• .1. Introduction 99 5
• .2. Inference Mechanisms and Need 101 5
• .3. Integration of Context and Inference 107 5
• .4. Statistical Inference and Induction 111 5
• .5. Pure Likelihood Approach 112 5
• .6. Bayesian Paradigm and Inference 113 5
• .7. Time-Based Inference 114 5
• .8. Inference to Build a System View 114 5
• .9. Summary 118 6 Adaptive Learning 119 6
• .1. Introduction 119 6
• .2. Adaptive Learning and Adaptive Systems 119 6
• .3. What Is Adaptive Machine Learning? 123 6
• .4. Adaptation and Learning Method Selection Based on Scenario 124 6
• .5. Systemic Learning and Adaptive Learning 127 6
• .6. Competitive Learning and Adaptive Learning 140 6
• .7. Examples 146 6
• .8. Summary 149 7 Multiperspective and Whole-System Learning 151 7
• .1. Introduction 151 7
• .2. Multiperspective Context Building 152 7
• .3. Multiperspective Decision Making and Multiperspective Learning 154 7
• .4. Whole-System Learning and Multiperspective Approaches 164 7
• .5. Case Study Based on Multiperspective Approach 167 7
• .6. Limitations to a Multiperspective Approach 174 7
• .7. Summary 174 8 Incremental Learning and Knowledge Representation 177 8
• .1. Introduction 177 8
• .2. Why Incremental Learning? 178 8
• .3. Learning from What Is Already Learned... 180 8
• .4. Supervised Incremental Learning 191 8
• .5. Incremental Unsupervised Learning and Incremental Clustering 191 8
• .6. Semisupervised Incremental Learning 196 8
• .7. Incremental and Systemic Learning 199 8
• .8. Incremental Closeness Value and Learning Method 200 8
• .9. Learning and Decision-Making Model 205 8
• .10. Incremental Classification Techniques 206 8
• .11. Case Study: Incremental Document Classification 207 8
• .12. Summary 208 9 Knowledge Augmentation: A Machine Learning Perspective 209 9
• .1. Introduction 209 9
• .2. Brief History and Related Work 211 9
• .3. Knowledge Augmentation and Knowledge Elicitation 215 9
• .4. Life Cycle of Knowledge 217 9
• .5. Incremental Knowledge Representation 222 9
• .6. Case-Based Learning and Learning with Reference to Knowledge Loss 224 9
• .7. Knowledge Augmentation: Techniques and Methods 224 9
• .8. Heuristic Learning 228 9
• .9. Systemic Machine Learning and Knowledge Augmentation 229 9
• .10. Knowledge Augmentation in Complex Learning Scenarios 232 9
• .11. Case Studies 232 9
• .12. Summary 235 10 Building a Learning System 237 10
• .1. Introduction 237 10
• .2. Systemic Learning System 237 10
• .3. Algorithm Selection 242 10
• .4. Knowledge Representation 244 10
• .5. Designing a Learning System 245 10
• .6. Making System to Behave Intelligently 246 10
• .7. Example-Based Learning 246 10
• .8. Holistic Knowledge Framework and Use of Reinforcement Learning 246 10
• .9. Intelligent Agents--Deployment and Knowledge Acquisition and Reuse 250 10
• .10. Case-Based Learning: Human Emotion-Detection System 251 10
• .11. Holistic View in Complex Decision Problem 253 10
• .12. Knowledge Representation and Data Discovery 255 10
• .13. Components 258 10
• .14. Future of Learning Systems and Intelligent Systems 259 10
• .15. Summary 259 Appendix A: Statistical Learning Methods 261 Appendix B: Markov Processes 271 Index 281.
• (source: Nielsen Book Data)

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the area of computational intelligence. This book focuses on reinforcement and systemic learning to build a new learning paradigm, which makes effective use of these learning methodologies to increase machine intelligence and help us in building the advance machine learning applications. Illuminating case studies reflecting the authors' industrial experiences and pragmatic downloadable tutorials are available for researchers and professionals.
(source: Nielsen Book Data)

Create modular scalable enterprise-grade applications with JBoss Enterprise Application Platform 7 About This Book * Leverage the power of JBoss EAP 7 along with Java EE 7 to create professional enterprise grade applications. * Get you applications cloud ready and make them highly scalable using this advanced guide. * Become a pro Java Developer and move ahead of the crowd with this advanced practical guide. Who This Book Is For The ideal target audience for this book is Java System Administrators who already have some experience with JBoss EAP and who now want explore in depth creating Enterprise grade apps with the latest JBoss EAP version. What You Will Learn * Configure services using the Command Line Interface * Deliver fault tolerant server configurations * Harden the application server with advanced techniques * Expand the application server's horizon with tools such as like Docker/OpenShift * Create enterprise ready configurations using clustering techniques. * Deliver advanced security solutions and learn how to troubleshoot common network/performance issues In Detail The JBoss Enterprise Application Platform (EAP) has been one of the most popular tools for Java developers to create modular, cloud-ready, and modern applications. It has achieved a reputation for architectural excellence and technical savvy, making it a solid and efficient environment for delivering your applications. The book will first introduce application server configuration and the management instruments that can be used to control the application server. Next, the focus will shift to enterprise solutions such as clustering, load balancing, and data caching; this will be the core of the book. We will also discuss services provided by the application server, such as database connectivity and logging. We focus on real-world example configurations and how to avoid common mistakes. Finally, we will implement the knowledge gained so far in terms of Docker containers and cloud availability using RedHat's OpenShift. Style and approach If you are a Java developer who wants to level-up to modern day Java web development with the latest Java EE 7 and JBoss EAP 7, this book is the ideal solution for you. It addresses (in a clear and simple way) proof-of-concept scenarios such as clustering and cloud and container configurations, and explains how to solve common issues.
(source: Nielsen Book Data)

• What is digital product management? Focus first on your customers Understanding business value Product roadmaps Discovering and designing a valuable customer experience Data-driven decisions Development Managing for results.
• (source: Nielsen Book Data)

With this practical guide, you'll learn how to understand the needs of external customers without requirements elicitation or sign-offs, the difference between customer and business value, and why you need to create both. You'll discover how to respond to changes in the market and the actions of competitors. You'll understand how to develop new products, launch them into the market, and how to deliver business outcomes through the maturity and eventual retirement of your product.
(source: Nielsen Book Data)

• What is digital product management? Focus first on your customers Understanding business value Product roadmaps Discovering and designing a valuable customer experience Data-driven decisions Development Managing for results.
• (source: Nielsen Book Data)

With this practical guide, you'll learn how to understand the needs of external customers without requirements elicitation or sign-offs, the difference between customer and business value, and why you need to create both. You'll discover how to respond to changes in the market and the actions of competitors. You'll understand how to develop new products, launch them into the market, and how to deliver business outcomes through the maturity and eventual retirement of your product.
(source: Nielsen Book Data)

• Foreword xi Preface xv Acknowledgments xvii
• Chapter 1: The Critical Role of Business Insight 1 The Disruptive Nature of Data 2 An Unconventional Look at Conventional Wisdom 3 Innovating at the Speed of Data 5 Weighing Risk and Bringing the Better Part of Gut Instinct Back into the Equation 6 People, Process, Technology, and Culture 8 Starting the Journey 10 Notes 12
• Chapter 2: The Journey: Taking the First Steps toward Transforming Your Organization 13 Different Approaches 13 Juggling Multiple Challenges 15 How to Deal with Challenges Effectively 17 Executive Sponsorship: Critical to Success 18 Understanding Current Capabilities 19 Aligning Capabilities with Business Objectives 20 Let's Start the Journey 22 Taking the First Steps to Transforming Your Organization 24 Note 24
• Chapter 3: Challenged Organizations: When Rugged Individualism and Department Silos Aren't Enough 25 Getting Along One Day at a Time: Organizations at the Individual Level 27 When "Have It Your Way" Isn't a Good Thing 32 Superhighways and Dirt Roads 33 Consolidated, but Not Cohesive: Organizations at the Departmental Level 37 Subject Matter Experts and Gatekeepers 38 Understanding the True Consequences of the Challenged Levels 46 Business Transformation Strategy Objectives for Challenged Organizations 46 Notes 47
• Chapter 4: Foundational Organizations: Making the Leap to an Enterprise-Wide Approach 49 The Possibilities That Come with Patience 51 Seeing the Value across the Enterprise 51 How an Enterprise Level Organization Functions 54 Big Data: The Big Opportunity for Enterprise Level Organizations 62 Don't Let Up 62 Continuous Improvement Required 64 Business Transformation Strategy Objectives for Foundational Organizations 64
• Chapter 5: Progressive Organizations: Harnessing the Power of Information to Achieve Market Advantage and Expand Their Business Offerings 67 Optimization: The Easiest Business Case of All 69 Toward Innovation and Beyond 79 Business Transformation Strategy Objectives for Progressive Organizations 87
• Chapter 6: Centers of Excellence: The Key to Accelerate Organizational Transformation 89 The 10,000-Foot View of Information 92 A Quick Look at the Key Responsibilities of a CoE 93 CoEs and the Levels of Maturity 95 How Should CoEs Be Organized? 96 Accelerating Maturity Not Creating Dependency 97 Finding the Right Spot in the Org Chart 99 Mapping the Mini-Units That a CoE Might Host 99 How the CoE Helps Secure the Organizational Pillars 104 Phased versus Big Bang Approach for Starting a CoE 109 Finding the Right Funding Mechanism 109 Selecting the Right Personalities 110 Ramping Up Your Change Agent 111 Note 112
• Chapter 7: Starting the Journey: Developing a Strategy and Roadmap to Guide Your Business Transformation 113 Knowing Where to Start 114 Riyad Bank's Enterprise Business Intelligence Competency Center 114 E.SUN Bank's Customer Risk Value Organization 118 Success Story Takeaways 120 Applying the Lessons from E.SUN and Riyad 121 The Most Important Characteristics of Successful Business Transformation Strategies 121 A Step-by-Step Look at the Key Components 122 Identifying a Starting Point 126 Summing It All Up 127 In the End, It's about Being a Leader 128 Appendix: Snapshot of the Information Evolution Model 131 The Individual Level: Getting Along One Day at a Time 131 Departmental Level: The Consolidated Organization 136 The Enterprise Organization: A Common Sense of Purpose 142 The Optimize Level Organization: Aligned and Ready 149 The Innovate Level: Spawning and Supporting New Ideas 156 Glossary 165 About the Author 173 Index 175.
• (source: Nielsen Book Data)

Effectively introduce and promote analytics within your enterprise All companies use information to set strategies and accomplish business objectives. But how many CEOs and CIOs would say they are satisfied that their companies get maximum value from information? Business Transformation reveals how SAS's Information Evolution Model (IEM) can be used together with analytics for groundbreaking results. Author Aiman Zeid provides the necessary information you need to introduce and promote the use of analytics and insight across your organization. Along with examples and best practices of global companies that have successfully been through this process, you'll learn how to identify the starting point and develop a road map for execution. * Reveals how to introduce and promote the use of analytics and insights across your organization * Written by a lead developer at SAS global Business Intelligence Competency Center program and services * Features global case studies and examples Practical and insightful, this reference provides businesses with an essential blueprint for creating improvements that optimize business returns and put the potential of data analytics to work.
(source: Nielsen Book Data)

Create modular scalable enterprise-grade applications with JBoss Enterprise Application Platform 7 About This Book * Leverage the power of JBoss EAP 7 along with Java EE 7 to create professional enterprise grade applications. * Get you applications cloud ready and make them highly scalable using this advanced guide. * Become a pro Java Developer and move ahead of the crowd with this advanced practical guide. Who This Book Is For The ideal target audience for this book is Java System Administrators who already have some experience with JBoss EAP and who now want explore in depth creating Enterprise grade apps with the latest JBoss EAP version. What You Will Learn * Configure services using the Command Line Interface * Deliver fault tolerant server configurations * Harden the application server with advanced techniques * Expand the application server's horizon with tools such as like Docker/OpenShift * Create enterprise ready configurations using clustering techniques. * Deliver advanced security solutions and learn how to troubleshoot common network/performance issues In Detail The JBoss Enterprise Application Platform (EAP) has been one of the most popular tools for Java developers to create modular, cloud-ready, and modern applications. It has achieved a reputation for architectural excellence and technical savvy, making it a solid and efficient environment for delivering your applications. The book will first introduce application server configuration and the management instruments that can be used to control the application server. Next, the focus will shift to enterprise solutions such as clustering, load balancing, and data caching; this will be the core of the book. We will also discuss services provided by the application server, such as database connectivity and logging. We focus on real-world example configurations and how to avoid common mistakes. Finally, we will implement the knowledge gained so far in terms of Docker containers and cloud availability using RedHat's OpenShift. Style and approach If you are a Java developer who wants to level-up to modern day Java web development with the latest Java EE 7 and JBoss EAP 7, this book is the ideal solution for you. It addresses (in a clear and simple way) proof-of-concept scenarios such as clustering and cloud and container configurations, and explains how to solve common issues.
(source: Nielsen Book Data)

Update to the most popular WordPerfect book on the market! Whether you just bought a computer that has WordPerfect installed or you need to learn it for use at the office, Absolute Beginner's Guide to WordPerfect X3 will have you up and running with the latest version of WordPerfect in no time. Endorsed by Corel, the makers of WordPerfect, this is the best beginning level guide available. It is organized in an easy-to-follow, progressive format, teaching you the most common features so that you can easily navigate the program and build complex documents.
(source: Nielsen Book Data)

• Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Worksheet, Data Management, and the Calculator; Introduction; Opening an Excel file in Minitab; Opening data from Access using ODBC; Stacking several columns together; Stacking blocks of columns at the same time; Transposing the columns of a worksheet; Splitting a worksheet by categorical column; Creating a subset of data in a new worksheet; Extracting values from a date/time column; Calculator
• basic functions; Calculator
• using an if statement.

• Coding a numeric column to text valuesCleaning up a text column with the calculator;
• Chapter 2: Tables and Graphs; Introduction; Finding the Tally of a categorical column; Building a table of descriptive statistics; Creating Pareto charts; Creating bar charts of categorical data; Creating a bar chart with a numeric response; Creating a scatterplot of two variables; Generating a paneled boxplot; Finding the mean to a 95 percent confidence on interval plots; Using probability plots to check the distribution of two sets of data; Creating a layout of graphs; Creating a time series plot.

• Adding a secondary axis to a time series plot
• Chapter 3: Basic Statistical Tools; Introduction; Producing a graphical summary of data; Checking if data follows a normal distribution; Comparing the population mean to a target with a 1-Sample t-test; Using the Power and Sample Size tool for a 1-Sample t-test; Using the Assistant menu for a 1-Sample t-test; Looking for differences in the population means between two samples with a 2-Sample t-test; Using the Power and Sample Size tool for a 2-Sample t-test; Using the Assistant menu to run the 2-Sample t-test.

• Finding critical t-statistics using the probability distribution plotFinding correlation between multiple variables; Using the 1 Proportion test; Graphically presenting the 1 Proportion test; Using the Power and Sample Size tool for a 1 Proportion test; Testing two population proportions with the 2 Proportions test; Using the Power and Sample Size tool for a 2 Proportions test; Using the Assistant menu to run a 2 Proportions test; Finding the sample size to estimate a mean to a given margin of error; Using Cross tabulation and Chi-Square.

• Using equivalence tests to prove zero difference between the mean and a targetCalculating the sample size for a 1-Sample equivalence test; Chapter 4: Using Analysis of Variance; Introduction; Using a one-way ANOVA with unstacked columns; Calculating power for the one-way ANOVA; Using Assistant to run a one-way ANOVA; Testing for equal variances; Analyzing a balanced design; Entering random effects model; Using GLM for unbalanced designs; Analyzing covariance; Analyzing a fully nested design; The repeated measures ANOVA
• using a mixed effects model; Finding the critical F-statistic.

This practical cookbook covers a broad range of topics in an easy-to-understand manner. Step-by-step instructions guide you through even the most complicated of tools in Minitab. This book is great for anyone who is familiar with statistics and who wants to learn how Minitab works. Whilst you do not need to be an expert in all areas of statistics, you should understand the basics of the chapters you are interested in.
(source: Nielsen Book Data)

• Cover; Copyright; Credits; Foreword; About the Authors; About the Reviewer; www.PacktPub.com; Customer Feedback; Acknowledgments; Table of Contents; Preface; Chapter 1: Introduction to NAV 2017; NAV 2017
• An ERP system; Financial management; Manufacturing; Supply chain management; Business Intelligence and reporting; Artificial Intelligence; Relationship Management; Human resource management; Project management; A developer's overview of NAV 2017; NAV object types; The C/SIDE Integrated Development Environment; Object Designer tool icons; C/AL programming language.

• NAV object and system elementsNAV functional terminology; User Interface; Hands-on development in NAV 2017; NAV 2017 development exercise scenario; Getting started with application design; Application tables; Designing a simple table; Creating a simple table; Pages; Standard elements of pages; List pages; Card pages; Document pages; Journal/Worksheet pages; Creating a List page; Creating a Card page; Creating some sample data; Creating a list report; Other NAV object types; Codeunits; Queries; MenuSuites; XMLports; Development backups and documentation; Review questions; Summary.

• Chapter
• 2: TablesAn overview of tables; Components of a table; Naming tables; Table numbering; Table properties; Table triggers; Keys; SumIndexFields; Field Groups; Bricks; Enhancing our sample application; Creating and modifying tables; Assigning a table relation property; Assigning an InitValue property; Adding a few activity-tracking tables; New tables for our WDTU project; New list pages for our WDTU project; Keys, SumIndexFields, and TableRelations in our examples; Secondary keys and SumIndexFields; Table Relations; Modifying an original NAV table; Version List documentation.

• Types of tableFully Modifiable tables; Master Data; Journal; Template; Entry tables; Subsidiary (Supplementary) tables; Register; Posted Document; Singleton; Temporary; Content Modifiable tables; System table; Read-Only tables; Virtual; Review questions; Summary;
• Chapter 3: Data Types and Fields; Basic definitions used in NAV; Fields; Field properties; Field triggers; Field events; Data structure examples; Field numbering; Field and variable naming; Data types; Fundamental data types; Numeric data; String data; Date/Time data; Complex data types; Data structure; Objects; Automation.

• Input/OutputDateFormula; References and other data types; Data type usage; FieldClass property options; FieldClass
• Normal; FieldClass
• FlowField; FieldClass
• FlowFilter; FlowFields and a FlowFilter for our application; Filtering; Experimenting with filters; Accessing filter controls; Development Environment filter access; Role Tailored Client filter access; Review questions; Summary; ; Chapter 4: Pages
• the Interactive Interface; Page Design and Structure Overview; Page Design guidelines; NAV 2017 Page structure; Types of pages; Role Center page; List page; Card page; Document page.

Customize your NAV applications About This Book * Gain from the insights and methods of industry-leading experts and tailor your applications to best suit the needs of your business * Learn through the detailed explanations and useful examples that are presented in a logical, step-by-step manner * This comprehensive guide is written with the goals of being used as a classroom text, a self-study text, and as a handy in-depth reference guide Who This Book Is For This book will appeal to all those who want to learn about NAV's powerful and extensive built-in development capabilities. It assumes that you understand programming and are familiar with business application software, although you aren't expected to have worked with NAV before. ERP consultants and managers of NAV development will also find the book helpful. What You Will Learn * Productively and effectively use the development tools that are built into Dynamics NAV * Understand the strengths of NAV's development tools and how they can be applied to address functional business requirements * Introduction to programming using the C/AL language in the C/SIDE Development Environment * Explore functional design and development using C/AL * Leverage advanced NAV development features and tools * Get to know the best practices to design and develop modifications of new functionality integrated with the standard NAV software In Detail Microsoft Dynamics NAV is a full business solution suite, and a complete ERP solution, which contains a robust set of development tools to support customization and enhancement. These tools help in greater control over financials and can simplify supply chain, manufacturing, and operations. This book will take you from an introduction to Dynamics NAV and its integrated development tools to being a productive developer in the Dynamics NAV Development Environment. You will find this book very useful if you want to evaluate the product's development capabilities or need to manage Dynamics NAV based projects. It will teach you about the NAV application structure, the C/SIDE development environment, the C/AL language paired with the improved editor, the construction and uses of each object type, and how it all fits together to build universal applications. With this new edition, you will be able to understand how to design and develop using Patterns and new features such as Extensions and Events. Style and approach This book is filled with examples and will serve as a comprehensive reference guide, complementing NAV's Help files.
(source: Nielsen Book Data)

• Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Dynamics NAV 2013 on Your Computer
• For (Almost) Free; Getting your free copy; Installing the software; Installing Visual Studio Web Developer 2010 Express; A quick overview of the additional contents of the installation files for Dynamics NAV; A look at what is installed; Microsoft Dynamics NAV 2013 Administration Shell; Microsoft Dynamics NAV 2013 Development Environment; Microsoft Dynamics NAV 2013 Windows Client; Microsoft Dynamics NAV Administration

• The SQL Server 2012 folderThe SQL Server 2012 report builder; Getting your license; Demo license; MSDN license; A full On-Premise license; The cloud license; Summary;
• Chapter 2: Getting Familiar with Dynamics NAV 2013; But first, a little history; The Windows Client (WC) interface; Exploring the role center page; Page search; Accessing other functional areas; Exploring the list page; Personalizing the list page; Searching your data based on filters; Exploring the card page; Personalizing the card page; Exploring the document page; Exploring the rest of the RTC environment

• The Development Environment interfaceSummary;
• Chapter 3: Exploring the Data Structure and Basic Layout of Dynamics NAV; Exploring the different departments; Drilling across modules and departments; Sales and marketing; Going into the inventory; Continuing on to the vendor; Drilling down to the detailed transactions; Keep drilling; Creating a sales order; Drill it on your own; Summary;
• Chapter 4: Determining a Task List; Who you are; Your company; Identifying the major pains in the company; Understanding the current operation; List out all of the problems

• Defining the non-negotiable must-havesDesigning the solution; Summary;
• Chapter 5: Finding Similar Functions for Inspiration; A closer look at the requirements; Where have you seen similar behavior?; A closer look at the Sales Header table (36); Data types in Dynamics NAV; Primary key and indexes; Looking at C/AL behind the table (the code); Table relations; A closer look at the Sales Order page (42); Looking at the properties; A closer look at the Sales Order Subform page (46); Looking at C/AL on the page (the code); Summary;
• Chapter 6: Creating the Application (Tables)

• Creating the table and identifying the primary key(s)Saving, compiling, and running our table; Primary keys; Check our requirements list; Adding new fields to the tables; Defining table relations in fields; Creating the Complaint Line table; Creating a conditional table relationship; Adding a composite primary key; Adding the Complaint Comments table; Summary;
• Chapter 7: Creating the Application (Pages and Reports); Creating the Product Complaint page; Linking FactBoxes; Creating the Product Complaint subpage; The AutoSplitKey property; Creating the Product Complaint Comments page

Presented in an easy-to-follow, step-by-step tutorial, "Getting Started with Dynamics NAV 2013 Application Development" introduces the reader to the main concepts of developing with Dynamics NAV."Getting Started with Dynamics NAV 2013 Application Development" is for any user who uses Dynamics NAV as their main business software. This is also for any developers who may be familiar with other accounting software and wish to get into developing within the Dynamics NAV field.
(source: Nielsen Book Data)