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Tabla de Contenidos: “…Title Page; Table of Contents; Introduction; About This Book; Foolish Assumptions; How This Book Is Organized; Icons Used In This Book; Beyond the Book; Where to Go from Here; Part I: Supercharged Reporting with Power Pivot; Chapter 1: Thinking Like a Database; Exploring the Limits of Excel and How Databases Help; Getting to Know Database Terminology; Understanding Relationships; Chapter 2: Introducing Power Pivot; Understanding the Power Pivot Internal Data Model; Activating the Power Pivot Add-In; Linking Excel Tables to Power Pivot; Chapter 3: The Pivotal Pivot Table…”

“…Explores how mobile devices can support the needs ofstudents Provides examples, screenshots, graphics, and visualizations toenhance the material presented in the book Provides developers with the background necessary to create theapps their audience requires Presents the case for mobile learning in and out of classroomsas early as preschool Discusses how mobile learning enables better educationalopportunities for the visually impaired, students with Autism, andadult learners. …”

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“…Every feature of this book supports both efficient exam preparation and long-term mastery: · Opening Topics Lists identify the topics you need to learn in each chapter and list EC-Council's official exam objectives · Key Topics figures, tables, and lists call attention to the information that's most crucial for exam success · Exam Preparation Tasks enable you to review key topics, define key terms, work through scenarios, and answer review questions...going beyond mere facts to master the concepts that are crucial to passing the exam and enhancing your career · Key Terms are listed in each chapter and defined in a complete glossary, explaining all the field's essential terminology This study guide helps you master all the topics on the latest CEH exam, including · Ethical hacking basics · Technical foundations of hacking · Footprinting and scanning · Enumeration and system hacking · Social engineering, malware threats, and vulnerability analysis · Sniffers, session hijacking, and denial of service · Web server hacking, web applications, and database attacks · Wireless technologies, mobile security, and mobile attacks · IDS, firewalls, and honeypots · Cryptographic attacks and defenses · Cloud computing, IoT, and botnets…”

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“…Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you're used to and how it enables you to write machine learning algorithms. …”

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“…Through this approach, the reader will gain a detailed understanding of each of the component parts of existing imaging devices and will be able to apply this to future developments within the field. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Chapter 1 Introduction to Machine Learning for Analyzing Material-Microbe Interactions -- 1.1 Introduction -- References -- Chapter 2 Introduction to 2D Materials -- 2.1 Classification of 2D Materials -- 2.2 Synthesis of 2D Materials -- 2.2.1 Top-Down Methods -- 2.2.2 Bottom-Up Methods -- 2.2.3 Layer Transfer Methods -- 2.3 Functionality of 2D Materials -- 2.3.1 Mechanical Properties -- 2.3.2 Electrical Properties -- 2.3.3 Optical Properties -- 2.4 Applications of 2D Materials -- References -- Chapter 3 An Overview of Machine Learning -- 3.1 Introduction -- 3.1.1 The Processing Pipeline of an ML Task -- 3.1.2 Data Integration -- 3.1.3 Data Preparation -- 3.1.4 Model Building -- 3.1.5 Model Evaluation -- 3.2 ML Algorithms -- 3.2.1 Bias and Variance -- 3.3 Unsupervised Learning -- 3.3.1 Cluster Analysis -- 3.3.2 Principal Component Analysis (PCA) -- 3.4 Supervised Learning -- 3.4.1 Regression -- 3.4.2 Classification -- 3.4.3 Supervised Learning Variants: Self-Supervised Learning -- 3.5 Deep Learning -- 3.5.1 Convolutional Neural Networks (CNNs) -- 3.6 Recurrent Neural Networks (RNN) -- References -- Chapter 4 Discovery of 2D Materials with Machine Learning -- 4.1 Introduction: High-Throughput Screening -- 4.2 ML Approaches for 2D Materials Research -- 4.2.1 Three ML Approaches for 2D Materials Research -- 4.2.2 A Summary of the Use of Machine Learning in 2D Materials Research -- 4.3 Prediction of 2D Material Properties Using Machine Learning -- 4.4 Application Machine Learning Approaches to Discover Novel 2D Materials -- 4.4.1 Predictions of Crystal Structure -- 4.4.2 Prediction of Components -- 4.5 Machine Learning for Miscellaneous Functions -- 4.6 Assessment of Common Challenges and Their Prevention Methods -- 4.6.1 The Problems with Model Building -- 4.6.2 Usability…”