“…The book is organized in the form of practical recipes covering a wide range of real-world problems. It gets into the details of all the core concepts of modern C++ programming, such as functions and classes, iterators and algorithms, streams and the file system, threading and concurrency, smart pointers and move semantics, and many others. …”

“…With this edition, enriched with more real-world examples, you’ll be perfectly equipped to architect the future for unparalleled innovation. …”

Tabla de Contenidos: “…Chapter 6 Reinforcement Learning for Demand Forecasting and Customized Services -- 6.1 Introduction -- 6.2 RL Fundamentals -- 6.3 Demand Forecasting and Customized Services -- 6.4 eMart: Forecasting of a Real-World Scenario -- 6.5 Conclusion and Future Works -- References -- Chapter 7 COVID-19 Detection through CT Scan Image Analysis: A Transfer Learning Approach with Ensemble Technique -- 7.1 Introduction -- 7.2 Literature Survey -- 7.3 Methodology -- 7.4 Results and Discussion -- 7.5 Conclusion -- References -- Chapter 8 Paddy Leaf Classification Using Computational Intelligence -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Methodology -- 8.4 Results and Discussion -- 8.5 Conclusion -- References -- Chapter 9 An Artificial Intelligent Methodology to Classify Knee Joint Disorder Using Machine Learning and Image Processing Techniques -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Proposed Methodology -- 9.4 Experimental Results -- 9.5 Conclusion -- References -- Part III: Advancements in Cognitive Computing: Practical Implementations -- Chapter 10 Fuzzy-Based Efficient Resource Allocation and Scheduling in a Computational Distributed Environment -- 10.1 Introduction -- 10.2 Proposed System -- 10.3 Experimental Results -- 10.4 Conclusion -- References -- Chapter 11 A Lightweight CNN Architecture for Prediction of Plant Diseases -- 11.1 Introduction -- 11.2 Precision Agriculture -- 11.3 Related Work -- 11.4 Proposed Architecture for Prediction of Plant Diseases -- 11.5 Experimental Results and Discussion -- 11.6 Conclusion -- References -- Chapter 12 Investigation of Feature Fusioned Dictionary Learning Model for Accurate Brain Tumor Classification -- 12.1 Introduction -- 12.1.1 Importance of Accurate and Early Diagnosis and Treatment -- 12.1.2 Role of Machine Learning in Brain Tumor Classification…”

“…This book offers a thorough review of subject knowledge in all six domains, with real-world examples and scenarios, so you can be sure that you're heading into test day with the most current understanding of cloud security. …”

“…The latest and most authoritative version of the popular step-by-step tutorial for Revit Architecture The newly revised third edition of Revit 2024 for Architecture: No Experience Required is the latest update to the market-leading, real-world guide for learning and building with Revit--the powerful and sophisticated Building Information Modeling (BIM) software used by professionals around the world. …”

“…The 8th Edition engages students in developing a deeper understanding of human physiology by guiding them to think critically and equipping them to solve real-world problems. Updates, such as new Try It activities and detailed teaching suggestions in the new Ready-to-Go Teaching Modules, help students learn and apply mapping skills, graphing skills, and data interpretation skills. …”

“…The continued focus on real-world clinical situations prepares students for future opportunities in applied practice and healthcare careers. …”

Tabla de Contenidos: “…Ensemble synthetic data generation -- Diversity regularization -- Incorporating external knowledge -- Progressive training -- Procedural content generation with game engines -- Diversity issues in the synthetic data realm -- Balancing diversity and realism -- Privacy and confidentiality concerns -- Validation and evaluation challenges -- Summary -- Chapter 16: Photorealism in Computer Vision -- Synthetic data photorealism for computer vision -- Feature extraction -- Domain gap -- Robustness -- Benchmarking performance -- Photorealism approaches -- Physically Based Rendering (PBR) -- Neural style transfer -- Photorealism evaluation metrics -- Structural Similarity Index Measure (SSIM) -- Learned Perceptual Image Patch Similarity (LPIPS) -- Expert evaluation -- Challenges and limitations of photorealistic synthetic data -- Creating hyper-realistic scenes -- Resources versus photorealism trade-off -- Summary -- Chapter 17: Conclusion -- Real data and its problems -- Synthetic data as a solution -- Real-world case studies -- Challenges and limitations -- Future perspectives -- Summary -- Index -- Other Books You May Enjoy…”

“…Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference Key Features Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples Gain practical insights into the real-world applications of statistics and machine learning Explore the technicalities of statistics and machine learning for effective data presentation Purchase of the print or Kindle book includes a free PDF eBook Book Description The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. …”

Tabla de Contenidos: “…-- Step 1 - learn how to recognize social engineering attacks -- Step 2 - develop realistic and implementable policies -- Step 3 - conduct periodic real-world audits -- Step 4 - implement applicable security awareness programs -- Summary -- Chapter 10: The Cloud -- How did the cloud emerge? …”

Tabla de Contenidos: “…References -- Green Computing and Resource Management -- GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy -- Introduction -- GreenWare Architecture -- Design Methodology of GreenWare -- Problem Formulation -- Response Time and Power Models -- Wind Power Model -- Solar Power Model -- Problem Solution -- Simulation Setup -- Datacenter Parameters -- Renewable Energy Availability -- Real-World Workload Traces -- Electricity Price Traces -- Evaluation Results -- Baselines -- Impacts of the Monthly Cost Budget -- Comparison with Baselines -- Impacts of Pricing Policies of Renewable Energy -- Related Work -- Conclusion -- References -- Resource Provisioning Framework for MapReduce Jobs with Performance Goals -- Introduction -- MapReduce Background -- Profiling MapReduce Jobs -- Job Execution as a Function of Allocated Resources -- Job Performance Invariants as a Job Profile -- MapReduce Performance Model -- General Theoretical Bounds -- Bounds-Based Completion Time Estimates of a MapReduce Job -- Scaling Factors -- Impact of Failures on the Completion Time Bounds -- SLO-Based Resource Provisioning -- Evaluation -- Performance Invariants -- Scaling Factors -- Performance Bounds of Job Completion Times -- SLO-Based Resource Provisioning -- Prediction of Job Completion Time with Failures -- Related Work -- Conclusion -- References -- Resource-Aware Adaptive Scheduling for MapReduce Clusters -- Introduction -- MapReduce and Hadoop -- Resource-Aware Adaptive Scheduler -- Problem Statement -- Architecture -- Performance Model -- Placement Algorithm and Optimization Objective -- Task Scheduler -- Job Profiles -- Evaluation -- Experimental Environment and Workload -- Experiment 1: Execution with Relaxed Completion Time Goals -- Experiment 2: Execution with Tight Completion Time Goals -- Related Work -- Conclusions -- References…”

“…This HashiCorp Terraform Associate (003) exam guide simplifies technical content relating to the exam and helps you learn using real-world examples. The book is aligned with the latest exam objectives, which enables you to streamline your learning experience instead of referring to multiple sources for preparation. …”

Tabla de Contenidos: “…Intro -- ENCYCLOPEDIA OF FINANCIAL MODELS -- About the Editor -- Contents -- Contributors -- Preface -- Guide to the Encyclopedia of Financial Models -- Equity Models and Valuation -- Dividend Discount Models -- DIVIDEND MEASURES -- DIVIDENDS AND STOCK PRICES -- BASIC DIVIDEND DISCOUNT MODELS -- THE FINITE LIFE GENERAL DIVIDEND DISCOUNT MODEL -- Assuming a Constant Discount Rate -- Required Inputs -- Assessing Fair Value -- CONSTANT GROWTH DIVIDEND DISCOUNT MODEL -- MULTIPHASE DIVIDEND DISCOUNT MODELS -- Two-Stage Growth Model -- Three-Stage Growth Model -- STOCHASTIC DIVIDEND DISCOUNT MODELS -- Binomial Stochastic Model -- Trinomial Stochastic Models -- Applications of the Stochastic DDM -- EXPECTED RETURNS AND DIVIDEND DISCOUNT MODELS -- KEY POINTS -- REFERENCES -- Discounted Cash Flow Methods for Equity Valuation -- DIVIDEND DISCOUNT MODEL -- Stocks That Currently Pay No Dividend -- CONSTANT-GROWTH DDM -- NONCONSTANT-GROWTH DDM -- INTUITION BEHIND THE DDM -- COMPLICATIONS IN IMPLEMENTING THE DDM IN THE REAL WORLD -- Expected Growth of Dividends -- Appropriate Expected Required Rate of Return -- Expected Future Selling Price -- Reinvestment of Profits/Internal Financing that Support Growth -- ADAPTING TO THE COMPLICATIONS: THE EARNINGS PER SHARE APPROACH -- FREE CASH FLOW DCF MODEL-TOTAL FIRM VALUATION -- Difference between Cash Flow and Free Cash Flow -- CALCULATING FCF -- USING THE CASH-FLOW STATEMENT TO ARRIVE AT OCF AND FCF -- Adjustments for Changes in Net Working Capital -- Adjustments for Investment in New Fixed Assets -- Adjustments for Depreciation and Other Noncash Expenses -- Financial Adjustments -- VALUING THE TOTAL FIRM -- ESTIMATING TOTAL FIRM VALUE USING THE FCF MODEL -- KEY POINTS -- REFERENCES -- Relative Valuation Methods for Equity Analysis -- BASIC PRINCIPLES OF RELATIVE VALUATION -- Sources of Data…”

Tabla de Contenidos: “…Developing Applications with JBoss JMS Provider -- A short introduction to JMS -- The building blocks of JMS -- The JBoss messaging subsystem -- Creating and using connection factories -- Using JMS destinations -- Adding message-driven beans to your application -- Cooking message-driven beans -- Adding the JMS producer -- Compiling and deploying the application -- Optimizing JMS connections -- Specifying which message to receive using selectors -- Using JMS to integrate with external systems -- A real-world example - HornetQ and ActiveMQ integration -- Installing the ActiveMQ resource adapter -- Consuming ActiveMQ messages -- Summary -- 8. …”

Tabla de Contenidos: “…Definition of test scopes -- Unit tests -- Component tests -- Integration tests -- System tests -- Performance tests -- Stress tests -- Implementing tests -- Unit tests -- Implementation -- Technology -- Component tests -- Motivation -- Implementation -- Delegating test components -- Technology -- Integration tests -- Embedded containers -- Embedded databases -- Running integration tests -- Code level integration tests versus system tests -- Shortcomings of integration tests -- Shortcomings of system tests -- Conclusion -- System tests -- Managing test scenarios -- Simulating external concerns -- Designing system tests -- Deploying and controlling external mocks -- Performance tests -- Motivation -- Key performance indicators -- Developing performance tests -- Insights -- Running tests locally -- Maintaining test data and scenarios -- Importance of maintainable tests -- Signs of lack of test quality -- Test code quality -- Test technology support -- Summary -- Chapter 8: Microservices and System Architecture -- Motivations behind distributed systems -- Challenges of distribution -- Communication overhead -- Performance overhead -- Organizational overhead -- How to design systems landscapes -- Context maps and bounded contexts -- Separation of concerns -- Teams -- Project life cycles -- How to design system interfaces -- API considerations -- Interface management -- Change-resilient APIs -- Breaking the business logic -- Hypermedia REST and versioning -- Documenting boundaries -- Consistency versus scalability -- Event sourcing, event-driven architectures, and CQRS -- Shortcomings of CRUD-based systems -- Scalability -- Competing transactions -- Reproducibility -- Event sourcing -- Benefits -- Eventually consistent real world -- Event-driven architectures -- Eventual consistency in event-driven architectures -- Enter CQRS -- Principles -- Design…”

Tabla de Contenidos: “…Enable the Viva Connections App for Both Desktop and Mobile Users -- Enable the App in the Teams Admin Center -- Customize the App Settings -- Details Section -- Icons Section -- Define Policies for the App -- Defining Your Rings for a Phased Rollout -- Define Permission Policies -- A Real-World Scenario -- Assign Permission Policy to Users -- Option 1: Permission Policy Interface -- Option 2: Permission Policy Interface -- Option 3: PowerShell -- Manage Permission Policies with PowerShell -- List the App Permission Policies -- Assign Users to the App Permission Policy -- Unassigning a Custom Policy of the User -- Assigning a Permission Policy to the Groups -- Assign a Permission Policy to Team Members -- Points to Consider -- Make the App Available to End Users -- Define the App Setup Policy -- Install the App -- Pin the App to the Teams App Bar -- Reorder the Apps -- Assigning a Setup Policy to Users -- PowerShell Support -- Assign a Setup Policy to Groups -- PowerShell Support -- Points to Consider -- Viva Connections App in Action -- Conclusion -- Chapter 9: Define Mobile Settings for Viva Connections -- Viva Connections Mobile Experience -- Dashboard -- Feed -- Resources -- Dashboard for Viva Connections Mobile Experience -- Define Settings for the Mobile App -- Conclusion -- Chapter 10: Define End-User Guidance -- End-User Psychology -- How Easy or Difficult Is It? …”

Tabla de Contenidos: “…Further reading -- Part 3: Design Patterns for Model Optimization and Life Cycle Management -- Chapter 7: Fairness Notions and Fair Data Generation -- Technical requirements -- Understanding the impact of data on fairness -- Real-world bias examples -- Causes of bias -- Defining fairness -- Types of fairness based on statistical metrics -- Types of fairness based on the metrics of predicted outcomes -- Types of fairness based on similarity-based measures -- Types of fairness based on causal reasoning -- The role of data audits and quality checks in fairness -- Assessing fairness -- Linear regression -- The variance inflation factor -- Mutual information -- Significance tests -- Evaluating group fairness -- Evaluating counterfactual fairness -- Best practices -- Fair synthetic datasets -- MOSTLY AI's self-supervised fair synthetic data generator -- A GAN-based fair synthetic data generator -- Summary -- Further reading -- Chapter 8: Fairness in Model Optimization -- Technical requirements -- The notion of fairness in ML -- Unfairness mitigation methods -- In-processing methods -- Explicit unfairness mitigation -- Fairness constraints for a classification task -- Fairness constraints for a regression task -- Fairness constraints for a clustering task -- Fairness constraints for a reinforcement learning task -- Fairness constraints for recommendation systems -- Challenges of fairness -- Missing sensitive attributes -- Multiple sensitive attributes -- Choice of fairness measurements -- Individual versus group fairness trade-off -- Interpretation and fairness -- Fairness versus model performance -- Limited datasets -- Summary -- Further reading -- Chapter 9: Model Explainability -- Technical requirements -- Introduction to Explainable AI -- Scope of XAI -- Challenges in XAI -- Explain Like I'm Five (ELI5) -- LIME -- SHAP…”

Tabla de Contenidos: “…Documentation and Commenting -- Code Review and Quality Assurance -- Predictive Troubleshooting -- Personalized Learning and Skill Development -- Ethical Implications and Best Practices -- Future Prospects -- Prompts for Entertainment and Gaming -- Storyline Generation -- Character Design and Evolution -- Dynamic Game Environments -- Music and Sound Effects -- Dialogue Generation -- Real-Time Player Feedback -- Predictive Gaming Trends -- Virtual Reality (VR) and Augmented Reality (AR) Experiences -- Ethical Gaming Practices -- Personalized Gaming Experiences -- Crowd Control and Online Moderation -- Gamification of Non-gaming Platforms -- Merchandising and Ancillary Content -- Advanced Techniques Personalized and Adaptive Prompts -- The Need for Personalization and Adaptability -- Personalized Prompts-Beyond Generic Queries -- Adaptive Prompts-Respondingto Dynamic Contexts -- Balancing Privacy with Personalization -- Feedback Loops for Adaptive Prompting -- Branching Prompts for Multistep Interactions -- Real-World Application: E-learning Platforms -- Personalized Health Care Recommendations -- Entertainment and Media Consumption -- E-commerceand Online Retail -- Challenges Ahead -- Continuous Learning and Evolution -- Chapter 9 Advanced Topics in Prompt Engineering -- A/B Testing of Prompts -- Understanding A/B Testing -- Why A/B Testing Is Crucial -- Setting the Right Metrics -- Crafting Variations -- Sample Size and Duration -- Analyzing Results -- Iterative Testing -- Potential Pitfalls -- Beyond Binary Testing -- Ethical Considerations -- Personalized and Adaptive Prompts -- The Rise of Personalization -- What Is a Personalized Prompt? …”

Tabla de Contenidos: “…component is -- Translating your problem into an application -- Identifying your elements -- A real-world example -- Defining your component database structure -- A quick look at the Joomla! …”

Tabla de Contenidos: “…-- Teams and Groups -- Real World Focus: Senior vs. Junior Managers in a Large PSU -- Team Effectiveness Model -- Organizational and Team Environment -- Team Design -- Team Building -- Outbound Experiential Learning -- Group Decision Making -- Techniques for Improving Group Decision Making -- Interactive Exercise -- Glossary -- Questions -- References -- Case Study: The Team Building Effort of the New Director…”