Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Dedication -- Brief Contents -- Contents -- Preface -- About the Author -- Part I: Negotiation Essentials -- Chapter 1: Negotiation: The Mind and the Heart -- The Mind and Heart -- Relationships versus Economics -- Satisficing versus Optimizing -- Short- versus Long-Term Relationships -- Intra- versus Inter-organizational Negotiation -- Low- versus High-Stakes Negotiation -- Win-Win, Win-Lose, and Lose-Lose Negotiation -- Negotiation as a Core Management Competency -- Knowledge Economy -- Specialized Expertise -- Information Technology -- Globalization -- Negotiation Traps -- Becoming an Effective Negotiator -- Feedback -- Strategy -- Focused Practice -- Debunking Negotiation Myths -- Myth 1: Negotiations Are Fixed-Sum -- Myth 2: You Need to Be Either Tough or Soft -- Myth 3: Good Negotiators Are Born -- Myth 4: Good Negotiators Rely on Intuition -- Chapter Capstone -- Chapter 2: Preparation: What to do Before Negotiation -- Self-Assessment -- Targets and Aspirations -- BATNA -- Reservation Point -- Focal Points -- Sunk Costs -- Target Point versus Reservation Point -- Negotiation Issues -- Issue Alternatives -- Multi-issue Proposals -- Risk and Uncertainty -- Endowment Effects -- Buyer's Remorse and Seller's Regret -- Negotiator Confidence -- Perspective-Taking -- Counterparty -- Are the Parties Monolithic? …”

Tabla de Contenidos: “…Introducing AI-generated art -- Observing data visualization -- Looking at image enhancement -- Generating Audio and Voice -- Using voice assistants -- Generating music -- Turning text into speech -- Creating and Editing Videos -- Summarizing videos -- Adding special effects -- Using auto-editing tools -- Choosing the Right Output Type for Your Project -- Matching output to objectives -- Considering cost, complexity, and sophistication -- Chapter 3 Navigating the Leading Platforms -- Setting Up Accounts and Managing Usage -- Step 1: Choosing a platform -- Step 2: Creating an account -- Step 3: Choosing the best plan -- Step 4: Setting preferences -- Step 5: Customizing your experience -- Understanding the Terms of Service -- Understanding the data usage policy -- Looking at API limitations -- Taking care of content ownership -- Dealing with service availability -- Reading termination clauses -- Reviewing payment and refund policies -- Looking at the governing laws -- Updating terms -- Managing Data Privacy Concerns -- Adding AI to Your Current Tools and Workflow -- Looking at Some Real-World Examples of AI Tools -- Getting into Workflow Automation -- Discovering Cost-Saving Tips and Free Tools -- Reviewing pay-as-you-go and token systems -- Viewing community-supported and open-source options -- Choosing special deals and price cuts -- Reviewing pick-and-choose packages -- Paying attention to differing levels of pricing -- Considering free trials and freemium models -- Watching out for hidden costs -- Looking at Real-World Implementations -- Part 2 Mastering the Art of Prompting -- Chapter 4 Creating and Writing Successful AI Prompts -- Discovering the Importance of Prompts -- Maximizing the Benefits of Your AI Prompts -- Boosting productivity -- Enhancing creativity -- Improving collaboration -- Mitigating risk -- Fostering career advancement…”

Tabla de Contenidos: “…Getting to the Middle of Things: The Median of a Data Set -- Determining the Relationship Between the Mean and Median -- Symmetrical -- Negatively skewed -- Positively skewed -- Discovering the Mode: The Most Frequently Repeated Element -- Computing the Mean, Median, and Mode with the TI-84 Plus Calculator -- Chapter 4 Measuring Variation in a Data Set -- Determining Variance and Standard Deviation -- Finding the sample variance -- Finding the sample standard deviation -- Calculating population variance and standard deviation -- Finding the population variance -- Finding the population standard deviation -- Finding the population standard deviation -- Finding the Relative Position of Data -- Percentiles: Dividing everything into hundredths -- Quartiles: Dividing everything into fourths -- Interquartile range: Identifying the middle 50 percent -- Measuring Relative Variation -- Coefficient of variation: The spread of a data set relative to the mean -- Comparing the relative risks of two portfolios -- Computing Measures of Dispersion with the TI-84 Plus Calculator -- Chapter 5 Measuring How Data Sets Are Related to Each Other -- Understanding Covariance and Correlation -- Sample covariance and correlation coefficient -- Population covariance and correlation coefficient -- Comparing correlation and covariance -- Interpreting the Correlation Coefficient -- Showing the relationship between two variables -- Application: Correlation and the benefits of diversification -- Computing Covariance and Correlation with the TI-84 Plus Calculator -- Part 2 Probability Theory and Probability Distributions -- Chapter 6 Probability Theory: Measuring the Likelihood of Events -- Working with Sets -- Membership -- Subset -- Union -- Intersection -- Complement -- Betting on Uncertain Outcomes -- The sample space: Everything that can happen -- Event: One possible outcome…”

Tabla de Contenidos: “…Perspective and Issues -- Subtopic -- Definitions of Terms -- Concepts, Rules, and Examples -- Reporting by Limited Liability Companies and Partnerships -- Other Sources -- 13 ASC 274 Personal Financial Statements -- Perspective and Issues -- Subtopic -- Overview -- Definitions of Terms -- Concepts, Rules, and Examples -- Measurement -- 14 ASC 275 Risks and Uncertainties -- Perspective and Issues -- Subtopic -- Scope and Scope Exceptions -- Definitions of Terms -- Concepts, Rules, and Examples -- Certain Significant Estimates -- Application of Disclosure Criteria -- Other Sources -- 15 ASC 280 Segment Reporting -- Perspective and Issues -- Subtopic -- Scope and Scope Exceptions -- Overview -- Definitions of Terms -- Concepts, Rules, and Examples -- Operating Segments -- Reassessment of Segments -- Measurement Issues -- Segment and Entity-Wide Disclosures -- Restatement of Previously Reported Segment Information -- Other Sources -- 16 ASC 310 Receivables -- Perspective and Issues -- Technical Alert -- Subtopics -- Scope and Scope Exceptions -- Definitions of Terms -- Concepts, Rules, and Examples -- ASC 310-10, Overall -- Initial Measurement -- Subsequent Measurement -- Derecognition -- ASC 310-20, Nonrefundable Fees and Other Costs -- Recognition -- Derecognition -- Presentation and Disclosures -- Other Sources -- 17 ASC 320 Investments-Debt Securities -- Perspective and Issues -- Technical Alerts -- Investment Topics -- Subtopics -- Scope and Scope Exceptions -- Overview -- Definitions of Terms -- Concepts, Rules, and Examples -- Classification of Debt Securities -- Held-to-Maturity Debt Securities -- Trading Debt Securities -- Available-for-Sale Securities -- Transfers between Categories -- 18 ASC 321 Investments-Equity Securities -- Perspective and Issues -- Investment Topics -- Subtopic -- Scope and Scope Exceptions -- Definitions of Terms…”

Tabla de Contenidos: “…Utility Functions and Risk Aversion -- I. Designing a Solar Collector -- J. …”

Tabla de Contenidos: “…-- The Set-Based Design Difference -- When to Use Set-Based Design -- Knowledge Development -- Relation to Development Phase -- Stakeholder Preferences and Requirements Assessment -- Increasing Knowledge Through Testing -- Design Alternative Analysis Methods and Metrics -- Stakeholder Preferences and Valuation -- Selecting Alternatives on the Basis of Value and Relation to Pareto Optimality -- Evaluation Based on Risk and Resilience within the SBD Process -- Conclusion and Discussion -- References -- Biographical Sketches -- Chapter 16 Exploiting Formal Modeling in Resilient System Design: Key Concepts, Current Practice, and Innovative Approach -- Introduction -- Problem Statement and Enabling Methods…”

Tabla de Contenidos: “…Properties of indefinite integrals -- Integration by parts -- Definite integrals -- Working with calculus in R -- Plotting basic functions -- Working with derivatives -- Using symbolic parameters -- Working with the second derivative -- Working with partial derivatives -- Working with integration in R -- More on antiderivatives -- Evaluating the definite integral -- Summary -- Part 3: Fundamentals of Mathematical Statistics in R -- Chapter 10: Probability Basics -- Technical requirements -- Introducing probability distribution -- Exploring common discrete probability distributions -- The Bernoulli distribution -- The binomial distribution -- The Poisson distribution -- Poisson approximation to binomial distribution -- The geometric distribution -- Comparing different discrete probability distributions -- Discovering common continuous probability distributions -- The normal distribution -- The exponential distribution -- Uniform distribution -- Generating normally distributed random samples -- Understanding common sampling distributions -- Common sampling distributions -- Understanding order statistics -- Extracting order statistics -- Calculating the value at risk -- Summary -- Chapter 11: Statistical Estimation -- Statistical inference for categorical data -- Statistical inference for a single parameter -- Introducing the General Social Survey dataset -- Calculating the sample proportion -- Calculating the confidence interval -- Interpreting the confidence interval of the sample proportion -- Hypothesis testing for the sample proportion -- Inference for the difference in sample proportions -- Type I and Type II errors -- Testing the independence of two categorical variables -- Introducing the contingency table -- Applying the chi-square test for independence between two categorical variables -- Statistical inference for numerical data…”

Tabla de Contenidos: “…Supply chain and inventory optimization -- Predictive maintenance -- Healthcare diagnostics and treatment -- The different types of machine learning -- Supervised learning -- Unsupervised learning -- Semi-supervised learning -- Reinforcement learning -- Transfer learning -- Popular machine learning algorithms -- Linear regression -- Logistic regression -- Decision trees -- Random forests -- Support vector machines -- k-nearest neighbors -- Neural networks -- The machine learning process -- Training a supervised machine learning model -- Validation of a supervised machine learning model -- Testing a supervised machine learning model -- Evaluating machine learning models -- Risks and limitations of machine learning -- Overfitting and underfitting -- Bias and variance -- Balanced dataset -- Models are approximations of reality -- Machine learning on unstructured data -- Natural language processing (NLP) -- Computer vision -- Deep learning and artificial intelligence -- Artificial intelligence -- Deep learning -- Summary -- Supervised Machine Learning -- Defining supervised learning -- Applications of supervised learning -- The two types of supervised learning -- Key factors in supervised learning -- Steps within supervised learning -- Data preparation - laying the foundation -- Algorithm selection - choosing the right tool -- Model training - learning from data -- Model evaluation - assessing performance -- Prediction and deployment - putting the model to work -- Characteristics of regression and classification algorithms -- Regression algorithms -- Classification algorithms -- Key considerations in supervised learning -- Evaluation metrics -- Applications of supervised learning -- Consumer goods -- Retail -- Manufacturing -- Summary -- Unsupervised Machine Learning -- Defining UL -- Practical examples of UL -- Steps in UL -- Step 1 - Data collection…”

Tabla de Contenidos: “…3.3.1.2 Computation Task Models 68 -- 3.3.1.3 Quality of Experience 71 -- 3.3.2 Computation Offloading Game 71 -- 3.3.2.1 Game Formulation 71 -- 3.3.2.2 Algorithm Development 74 -- 3.3.2.3 Price of Anarchy 74 -- 3.3.2.4 Performance Evaluation 75 -- 3.4 Conclusion 80 -- References 80 -- 4 Pricing Tradeoffs for Data Analytics in Foǵ<U+0093>Cloud Scenarios 83 /Yichen Ruan, Liang Zheng, Maria Gorlatova, Mung Chiang, and Carlee Joe-Wong -- 4.1 Introduction: Economics and Fog Computing 83 -- 4.1.1 Fog Application Pricing 85 -- 4.1.2 Incentivizing Fog Resources 86 -- 4.1.3 A Fogonomics Research Agenda 86 -- 4.2 Fog Pricing Today 87 -- 4.2.1 Pricing Network Resources 87 -- 4.2.2 Pricing Computing Resources 89 -- 4.2.3 Pricing and Architecture Trade-offs 89 -- 4.3 Typical Fog Architectures 90 -- 4.3.1 Fog Applications 90 -- 4.3.2 The Cloud-to-Things Continuum 90 -- 4.4 A Case Study: Distributed Data Processing 92 -- 4.4.1 A Temperature Sensor Testbed 92 -- 4.4.2 Latency, Cost, and Risk 95 -- 4.4.3 System Trade-off: Fog or Cloud 98 -- 4.5 Future Research Directions 101 -- 4.6 Conclusion 102 -- Acknowledgments 102 -- References 103 -- 5 Quantitative and Qualitative Economic Benefits of Fog 107 /Joe Weinman -- 5.1 Characteristics of Fog Computing Solutions 108 -- 5.2 Strategic Value 109 -- 5.2.1 Information Excellence 110 -- 5.2.2 Solution Leadership 110 -- 5.2.3 Collective Intimacy 110 -- 5.2.4 Accelerated Innovation 111 -- 5.3 Bandwidth, Latency, and Response Time 111 -- 5.3.1 Network Latency 113 -- 5.3.2 Server Latency 114 -- 5.3.3 Balancing Consolidation and Dispersion to Minimize Total Latency 114 -- 5.3.4 Data Traffic Volume 115 -- 5.3.5 Nodes and Interconnections 116 -- 5.4 Capacity, Utilization, Cost, and Resource Allocation 117 -- 5.4.1 Capacity Requirements 117 -- 5.4.2 Capacity Utilization 118 -- 5.4.3 Unit Cost of Delivered Resources 119 -- 5.4.4 Resource Allocation, Sharing, and Scheduling 120 -- 5.5 Information Value and Service Quality 120 -- 5.5.1 Precision and Accuracy 120.…”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…Securing Cloud Services – A pragmatic guide gives an overview of security architecture processes and explains how they may be used to derive an appropriate set of security controls to manage the risks associated with working in the Cloud. Manage the risks associated with Cloud computing…”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This video collection explores key security risks associated with generative AI. It's crucial for viewers to understand these risks as AI becomes more prevalent in daily life and business. …”

“…This ebook helps project managers to understand how their project fits into the overall strategy of an organisation, how to avoid the traps of assumptions, manage risks and prevent scope creep. This is one section of the book "Shortcuts to Success"…”