Tabla de Contenidos: “…6.7 Eingehende und ausgehende Links -- 6.8 Do it yourself -- Kapitel 7: Content Marketing -- 7.1 Themen finden -- 7.2 »Kreativ schreiben«-Tricks -- 7.2.1 Freewriting -- 7.2.2 Mind Map -- 7.2.3 HyperSuggest -- 7.2.4 W-FRAGEN-TOOL -- Kapitel 8: Content-Formate -- 8.1 Der Küchenzuruf -- 8.2 Tatsachenbetonter Content -- 8.3 Nützlicher Content -- 8.4 Erzählender Content -- 8.5 Meinungsbildender Content -- 8.6 Interaktiver Content -- 8.7 Videos -- 8.8 Audio-Podcast -- 8.9 Content-Recycling -- Kapitel 9: Rund um den Blog -- 9.1 Gastartikel -- 9.2 Stöckchen -- 9.3 Blogparaden -- 9.4 Content-Partner -- 9.5 In anderen Blogs kommentieren -- 9.6 Content-Plan -- 9.7 Blogger-Reisen -- 9.8 TweetUps -- Kapitel 10: Storytelling -- 10.1 Das Ziel der Geschichte -- 10.2 Die Art der Geschichte -- 10.3 Der Held -- 10.3.1 So bekommt Ihr Held ein Profil -- 10.4 Die Heldenreise -- 10.5 Die Erzählperspektive -- 10.6 Die Kanäle zur Veröffentlichung -- 10.7 Do it yourself -- Kapitel 11: Social Media -- 11.1 Sprechen Sie Social Media? …”

Tabla de Contenidos: “…-- Opportunities to Use Learning Technologies -- When Designing Training -- Before Training -- During Training -- After Training -- While Building a Learning Community -- The Bare Minimum -- Key Points -- What to Do Next -- Additional Resources -- 8 DELIVERING YOUR EMOTIONAL INTELLIGENCE WORKSHOP: BE A GREAT FACILITATOR -- The Learning Environment -- Program Preparation Checklist -- Participant Materials -- Handouts -- Presentation Slides -- Workbooks and Journals -- Videos -- Toys, Noisemakers, and Other Props -- Facilitator Equipment and Materials -- A Strong Start: Introduction, Icebreakers, and Openers -- Feedback -- Role Plays -- Participant Presentations -- Ball Toss -- Journaling -- Responding to Questions -- Training Room and Participant Management -- A Word About Dealing With Difficult Participants -- An Unforgettable End -- The Bare Minimum -- Key Points -- What to Do Next -- Additional Resources -- 9 EVALUATING WORKSHOP RESULTS -- Levels of Measurement -- Level 1: Measuring Participant Reactions -- Level 2: Measuring the Extent to Which Participants Have Learned -- Level 3: Measuring the Results of Training Back on the Job -- Level 4: Measuring the Organizational Impact of Training -- Return on Investment -- Reporting Results -- The Bare Minimum -- Key Points -- What to Do Next…”

Tabla de Contenidos: “…-- RL algorithm -- How RL differs from other ML paradigms -- Elements of RL -- Agent -- Policy function -- Value function -- Model -- Agent environment interface -- Types of RL environment -- Deterministic environment -- Stochastic environment -- Fully observable environment -- Partially observable environment -- Discrete environment -- Continuous environment -- Episodic and non-episodic environment -- Single and multi-agent environment -- RL platforms -- OpenAI Gym and Universe -- DeepMind Lab -- RL-Glue -- Project Malmo -- ViZDoom -- Applications of RL -- Education -- Medicine and healthcare -- Manufacturing -- Inventory management -- Finance -- Natural Language Processing and Computer Vision -- Summary -- Questions -- Further reading -- Chapter 2: Getting Started with OpenAI and TensorFlow -- Setting up your machine -- Installing Anaconda -- Installing Docker -- Installing OpenAI Gym and Universe -- Common error fixes -- OpenAI Gym -- Basic simulations -- Training a robot to walk -- OpenAI Universe -- Building a video game bot -- TensorFlow -- Variables, constants, and placeholders -- Variables -- Constants -- Placeholders -- Computation graph -- Sessions -- TensorBoard -- Adding scope -- Summary -- Questions -- Further reading -- Chapter 3: The Markov Decision Process and Dynamic Programming -- The Markov chain and Markov process -- Markov Decision Process -- Rewards and returns -- Episodic and continuous tasks -- Discount factor -- The policy function -- State value function -- State-action value function (Q function) -- The Bellman equation and optimality -- Deriving the Bellman equation for value and Q functions -- Solving the Bellman equation…”

Tabla de Contenidos: “…Debugging Behaviors -- Design "Power Prompts" Wherever Possible -- Password Management Example, Continued -- Habits Make Hard Things Easier to Do -- Thinking About Guardrails -- Tracking Results and Measuring Effectiveness -- Key Takeaways -- Notes and References -- Additional Reading -- Chapter 5 Culture Management 101 for Security Awareness Leaders -- Security Culture Is Part of Your Larger OrganizationaI CuIture -- Getting Started -- Understanding Your Culture's Status Quo -- Go Viral: Unleash the Power of Culture Carriers -- Cultures in (Potential) Conflict: Remember Global and Social Dynamics -- Cultural Forces -- Structures -- Pressures -- Rewards -- Rituals -- Tracking Results and Measuring Effectiveness -- Key Takeaways -- Notes and References -- Additional Reading -- Chapter 6 What's in a Modern Security Awareness Leader's Toolbox? -- Content Is King: Videos, Learning Modules, and More -- Big Box Shopping: A Content Analogy -- Types of Content -- Experiences: Events, Meetings, and Simulations -- Meetings, Presentations, and Lunch-and-Learns -- Tabletop Exercises -- Rituals -- Webinars -- Games -- Simulated Phishing and Social Engineering -- Other Simulations and Embodied Learning -- Interactions with Other Technologies -- Relationships: Bringing Context to Content and Experiences -- Be Intentional and Opportunistic, Always -- Stories and Analogies -- Tapping into Cultural Trends -- Opportunistic Campaigns Based on New Organizational Initiatives and Current Events -- The Critical "At Home" Connection -- Use Your Metrics and Anecdotes to Help Tell and Reinforce Your Story -- Key Takeaways -- Notes and References -- Chapter 7 Voices of Transformation: Interviews with Security Awareness Vendors -- Anna Collard, Popcorn Training -- Chris Hadnagy, Social Engineer -- Drew Rose, Living Security…”

Tabla de Contenidos: “…-- Fear of Missing Out -- Social Validation -- Ego -- Social Comparison -- Social Space Underpinning New Sharing Norm -- What Consumers Share -- Notes -- PART II NEW VOICE INNOVATORS' WIN-WIN -- CHAPTER 4 Yesterday's Indirect Information Model -- Yesterday's Model -- Legacy of Indirect Information -- Privacy Not -- Notes -- CHAPTER 5 Emerging Customer's New Voice Business Information Model -- Customer-Direct Information Model -- Forces Driving New Voice Engagement -- Customers Want Relevancy -- Businesses Want Relevancy -- Direct New Voice Navigates Privacy -- Direct Competencies Required -- Information/Value Exchange Competency -- Direct Information Competency -- Unlocking Consumers' Intent -- Intent Continuum -- Life of Intent and Context -- Indirect Voice of Purchase Intent/Context -- Sources -- Display (Digital) Advertising Intent and Context Sources -- Price of Inferred Intent and Context -- Segmentation Uncertainty -- Location‐Based Intent and Content Sources -- Location‐Based Service Providers -- Transaction Intent and Context Sources -- Video Intent and Context Sources -- Notes…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Abbreviations and Acronyms -- Chapter 1 Computer Vision in Vehicles -- 1.1 Adaptive Computer Vision for Vehicles -- 1.1.1 Applications -- 1.1.2 Traffic Safety and Comfort -- 1.1.3 Strengths of (Computer) Vision -- 1.1.4 Generic and Specific Tasks -- 1.1.5 Multi-module Solutions -- 1.1.6 Accuracy, Precision, and Robustness -- 1.1.7 Comparative Performance Evaluation -- 1.1.8 There Are Many Winners -- 1.2 Notation and Basic Definitions -- 1.2.1 Images and Videos -- 1.2.2 Cameras -- 1.2.3 Optimization -- 1.3 Visual Tasks -- 1.3.1 Distance -- 1.3.2 Motion -- 1.3.3 Object Detection and Tracking -- 1.3.4 Semantic Segmentation -- 1.4 Concluding Remarks -- Acknowledgments -- Chapter 2 Autonomous Driving -- 2.1 Introduction -- 2.1.1 The Dream -- 2.1.2 Applications -- 2.1.3 Level of Automation -- 2.1.4 Important Research Projects -- 2.1.5 Outdoor Vision Challenges -- 2.2 Autonomous Driving in Cities -- 2.2.1 Localization -- 2.2.2 Stereo Vision-Based Perception in 3D -- 2.2.3 Object Recognition -- 2.3 Challenges -- 2.3.1 Increasing Robustness -- 2.3.2 Scene Labeling -- 2.3.3 Intention Recognition -- 2.4 Summary -- Acknowledgments -- Chapter 3 Computer Vision for MAVs -- 3.1 Introduction -- 3.2 System and Sensors -- 3.3 Ego-Motion Estimation -- 3.3.1 State Estimation Using Inertial and Vision Measurements -- 3.3.2 MAV Pose from Monocular Vision -- 3.3.3 MAV Pose from Stereo Vision -- 3.3.4 MAV Pose from Optical Flow Measurements -- 3.4 3D Mapping -- 3.5 Autonomous Navigation -- 3.6 Scene Interpretation -- 3.7 Concluding Remarks -- Chapter 4 Exploring the Seafloor with Underwater Robots -- 4.1 Introduction -- 4.2 Challenges of Underwater Imaging -- 4.3 Online Computer Vision Techniques -- 4.3.1 Dehazing -- 4.3.2 Visual Odometry -- 4.3.3 SLAM -- 4.3.4 Laser Scanning…”

Tabla de Contenidos: “…-- Opportunities to Use Learning Technologies -- When Designing Training -- Before Training -- During Training -- After Training -- While Building a Learner Community -- The Bare Minimum -- Key Points -- What to Do Next -- Additional Resources -- 8 DELIVERING YOUR FACILITATION SKILLS WORKSHOPS -- The Learning Environment -- Program Preparation Checklist -- Participant Materials -- Handouts -- Presentation Slides -- Workbooks and Journals -- Videos -- Toys, Noisemakers, and Other Props -- Equipment and Trainer's Materials -- A Strong Start: Introduction, Icebreakers, and Openers -- Feedback -- Role Plays -- Participant Presentations -- Ball Toss -- Journaling -- Responding to Questions -- Training Room and Participant Management -- A Word About Dealing With Difficult Participants -- An Unforgettable End -- The Bare Minimum -- Key Points -- What to Do Next -- Additional Resources -- 9 EVALUATING WORKSHOP RESULTS -- Levels of Measurement -- Level 1: Measuring Participant Reactions -- Level 2: Measuring the Extent to Which Participants Have Learned…”

Tabla de Contenidos: “…Greenscreen; 4.5.5 Bluescreen Floors; 4.5.6 Film Issues; 4.5.7 Video Issues; 4.5.8 Photography Tips…”

Tabla de Contenidos: “…Greenscreen; 4.5.5 Bluescreen Floors; 4.5.6 Film Issues; 4.5.7 Video Issues; 4.5.8 Photography Tips; 5 Creating Masks; 5.1 KEY, MATTE, ALPHA, AND MASK; 5.2 CREATING A LUMA-KEY; 5.3 CREATING A CHROMA-KEY; 5.4 CREATING A MASK; 5.4.1 The Difference Mask; 5.4.2 The Color Difference Mask; 5.4.3 Geometric Primitives; 5.4.4 Drawing Shapes; 5.4.5 Painting a Mask; 5.4.6 Combo Masks; 6 Rotoscoping; 6.1 ABOUT ROTOSCOPING; 6.2 SPLINES…”

Tabla de Contenidos: “…PHP Info Disclosure -- HackerOne Hacktivity Voting -- Accessing PornHub's Memcache Installation -- Summary -- 19 Finding Your Own Bug Bounties -- Reconnaissance -- Testing the Application -- Going Further -- Summary -- 20 Vulnerability Reports -- Read the Policy -- Include Details -- Then Include More -- Reconfirm the Vulnerability -- Your Reputation -- Show Respect for the Company -- Appealing Bounty Rewards -- Summary -- A Tools -- Web Proxies -- Subdomain Enumeration -- Discovery -- Screenshotting -- Port Scanning -- Reconnaissance -- Hacking Tools -- Mobile -- Browser Plug-Ins -- B Resources -- Online Training -- Bug Bounty Platforms -- Recommended Reading -- Video Resources -- Recommended Blogs -- Index…”

Tabla de Contenidos: “…Looking to the Web Component future -- 15.2. 3D and mixed reality -- 15.3. Video effects -- 15.4. Hand tracking and machine learning -- Summary -- Appendix. …”

Tabla de Contenidos: “…</P><P>Engineering Design Process Based on LMS: Trial on Biophysics for Pre-Service Science Teacher</P><P>Digital Video Project: Promoting Studentsa^€TM Autonomy in Academic Speaking for EFL Students</P><P>A study on Children's Understandings of Values through Reflective Practices using a Values-Based Reflection Framework (VBRF) </P><P>Determinants of Caregiversa^€TM Burden of Cancer Patients; A Systematic Review</P><P>The Implementation of Sexuality Education through Parents Ethnopedology in Family</P><P>Gender Resilience in Indonesia</P><P>Transformational Leadership of Student Development in the Optimization of Student Climate and Organizational Culture in the New Normal Education Era</P><P>The Prevalence of Young Children of Emotional Disturbance During Online Learning in the COVID-19 Pandemic</P><P>Knowledge Mapping on Political Cynicism: A Bibliometric Analysis in Politic Education</P><P>Teacher Shortages Requiring Collaborative Efforts on Challenging COVID-19 </P><P>Housework as a Positive Function of Healthy Children in Family Education a^€" Current Status in Contradiction with Tradition</P><P>The Impact of Expenditure in Education Towards Poverty Reduction</P><P>Analysis of Information Literacy and Argumentation Skills Student Prospective Science Teacher</P><P>Meta-Analysis of Learning Media Used in Physics Education as a Learning Medium in the Pandemic Period</P><P>Contribution of Science Writing Heuristics to Students' Argumentation Skills in Learning Science</P><P></P>…”

Tabla de Contenidos: “…Understanding the benefits of diverse human labeling -- Understanding common challenges arising from human labelers -- Designing a framework for high-quality labels -- Designing clear instructions -- Aligning motivations and using SMEs -- Collaborating iteratively -- Dealing with ambiguity and reflecting diversity -- Understanding approaches for dealing with ambiguity in labeling -- Measuring labeling consistency -- Summary -- References -- Part 3: Technical Approaches to Better Data -- Chapter 5: Techniques for Data Cleaning -- The six key dimensions of data quality -- Installing the required packages -- Introducing the dataset -- Ensuring the data is consistent -- Checking that the data is unique -- Ensuring that the data is complete and not missing -- Ensuring that the data is valid -- Ensuring that the data is accurate -- Ensuring that the data is fresh -- Summary -- Chapter 6: Techniques for Programmatic Labeling in Machine Learning -- Technical requirements -- Python version -- Library requirements -- Pattern matching -- Database lookup -- Boolean flags -- Weak supervision -- Semi-weak supervision -- Slicing functions -- Active learning -- Uncertainty sampling -- Query by Committee (QBC) -- Diversity sampling -- Transfer learning -- Feature extraction -- Fine-tuning pre-trained models -- Semi-supervised learning -- Summary -- Chapter 7: Using Synthetic Data in Data-Centric Machine Learning -- Understanding synthetic data -- The use case for synthetic data -- Synthetic data for computer vision and image and video processing -- Generating synthetic data using generative adversarial networks (GANs) -- Exploring image augmentation with a practical example -- Natural language processing -- Privacy preservation -- Generating synthetic data for privacy preservation -- Using synthetic data to improve model performance…”

Tabla de Contenidos: “…Recording dialogue -- Using a screenplay or outline -- Recording Chaz's dialogue in real time -- Importing and lip-syncing the alien's dialogue -- Summary -- Chapter 11: Rearranging, Polishing, and Enhancing Our Sequence -- Technical requirements -- Using PNG sequences for external animations -- Importing PNGs for the sequence -- Adding Cycle Layers behavior -- Adjusting the audience in the scene -- Adding more character actions -- Adjusting the alien's gaze -- Setting automatic blinks for the alien -- Adding arm movement to the alien -- Arranging character actions in sequence -- Correcting flaws and enhancing animations -- Summary -- Chapter 12: Exporting, Editing, and Sharing Your Character Animator Sequence -- Technical requirements -- Export options in Character Animator -- Setting export duration -- How to export files -- Exporting Character Animator scenes as videos -- Editing in After Effects with Dynamic Link -- Why use After Effects? …”

Tabla de Contenidos: “…4.2.4.9 The Need For Prescriptive Analytics in Maintenance: A Case Study -- 4.3 Big Data Analytics Methods -- 4.3.1 Defining Big Data Analytics -- 4.3.2 Defining Big Data Via the Three Vs -- 4.3.2.1 Data Volume as a Defining Attribute of Big Data -- 4.3.2.2 Data Type Variety as a Defining Attribute of Big Data -- 4.3.2.3 Data Feed Velocity as a Defining Attribute of Big Data -- 4.3.3 Text Analytics -- 4.3.4 Audio Analytics -- 4.3.5 Video Analytics -- 4.3.6 Social Media Analytics -- 4.4 Maintenance Strategies with Big Data Analytics -- 4.5 Data-Driven and Model-Driven Approaches -- 4.5.1 Data Mining and Knowledge Discovery -- 4.6 Maintenance Descriptive Analytics -- 4.7 Maintenance Diagnostic Analytics -- 4.8 Maintenance Predictive Analytics -- 4.9 Maintenance Prescriptive Analytics -- 4.10 Big Data Analytics Methods -- 4.10.1 Text Analytics -- 4.10.2 Audio Analytics -- 4.10.3 Video Analytics -- 4.10.4 Social Media Analytics -- 4.11 Big Data Management and Governance -- 4.12 Big Data Access and Analysis -- 4.13 Big Data Visualisation -- 4.14 Big Data Ingestion -- 4.15 Big Data Cluster Management -- 4.16 Big Data Distributions -- 4.17 Data Governance -- 4.18 Data Access -- 4.19 Data Analysis -- 4.20 Bid Data File System -- 4.20.1 Quantcast File System -- 4.20.2 Hadoop Distributed File System -- 4.20.3 Cassandra File System (CFS) -- 4.20.4 GlusterFS -- 4.20.5 Lustre -- 4.20.6 Parallel Virtual File System -- 4.20.7 Orange File System (OrangeFS) -- 4.20.8 BeeGFS -- 4.20.9 MapR-FS -- 4.20.9.1 Kudu -- References -- Chapter 5 Data-Driven Decision-Making -- 5.1 Data for Decision-Making -- 5.1.1 Data-Driven Decision-Making -- 5.1.2 The Process of Data-Driven Decision-Making -- 5.1.3 The Context of Data-Driven Decision-Making -- 5.1.4 The Importance of Data-Driven Decision-Making -- 5.1.5 Common Challenges of Data-Driven Decision-Making…”

Tabla de Contenidos: “…Procedimientos de verificación de las alarmas: secuencial, mediante vídeo, mediante audio y verificación personal -- 5. …”

Tabla de Contenidos: “…Procedimientos de verificación de las alarmas: secuencial, mediante vídeo, mediante audio y verificación personal -- 5. …”

Tabla de Contenidos: “…-- Summary -- Chapter 3: Exploring Streamlit's Features and Functionality -- Technical requirements -- Installing and launching Streamlit -- Streamlit features and widgets -- Colored textboxes -- Images, audio, and video -- Inputting text and numbers -- Slider -- Balloons -- DataFrames, plots, and visualizations -- Date, time, and more -- Summary -- Part 2: Building a Basic Web App for Essential Streamlit Skills -- Chapter 4: Streamlit Essentials - Configuring the Environment, Managing Packages, and More -- Technical requirements -- Configuring our environment -- Installing and importing packages -- App skeleton building -- Building the menu and adding decorations -- Summary -- Chapter 5: Organizing and Displaying Content with Columns, Expanders, and NLP Techniques -- Technical requirements -- Organizing and arranging content in a web app -- Adding decorations -- Adding the Text Analysis part -- Hiding and showing parts depending on importance -- Adding columns, expanders, and a textbox -- Adding the two basic functions -- Adding a wordcloud -- Introducing NLP concepts - tokens and lemmas -- Adding the summarization function -- Tokens and lemmas…”

“…Each task-based spread includes easy, visual directions for performing necessary operations, including using the Dock and Dashboard, managing Expos? and Spaces, video chatting with iChat, and creating albums and photos in iPhoto. …”