Tabla de Contenidos: “…Intro -- Inhalt -- Vorwort -- Kapitel 1: Online-Marketing -- Wandel der Marketingkommunikation von Push zu Pull - und (teilweise) zurück zu Push -- Nutzerzahlen -- Mobile Web -- Bewegtbild -- Big Data -- GAFA -- Sprache, Assistenten, künstliche Intelligenzen -- Es bleibt spannend -- Trends im Online-Marketing - eine Einschätzung der Experten-Autor*innen -- Berufsbild und Aufgaben des Online Marketing Manager: Interview mit Philipp Klöckner -- Kapitel 2: Die Online-Marketing- Strategie -- Die wichtigsten Online-Marketing- Instrumente und -Kanäle -- Die wichtigsten Gatekeeper Google, YouTube, Facebook und Amazon -- Online-Marketing im Marketing-Mix -- Strategie und Taktik -- Ziel- und Bedarfsgruppenanalysen -- SWOT-Analyse zur Bestimmung des Online-Marketing-Mix -- Die Customer Journey im Zentrum des Online-Marketings -- Touchpoints und Customer Experience -- Die Entwicklung einer Online-Marketing- Strategie entlang der Customer Journey -- Online-Marketing im Upper Funnel -- Online-Marketing im Lower Funnel -- Digitaler Markenaufbau als kritischer Erfolgsfaktor -- Der Einfluss des semantischen Webs (Web 3.0) auf das Online-Marketing -- Die Rolle der Marke im semantischen Web -- Das Web 3.0 und die digitale Marke -- Kennzahlen für erfolgreiches Branding -- Methoden zur Bestimmung der eigenen themenbezogenen Markenstärke anhand von Google -- Verbesserung der digitalen Markenpopularität und thematischen Markenstärke -- Die eigenen Assets als Kern der Online- Marketing-Strategie -- Interview mit Karl Kratz -- Kapitel 3: Content-Marketing -- Was ist Content-Marketing, und was ist Content? …”

“…Whether you’re working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for experienced Scala developers and for programmers just learning to use this JVM language. …”

Tabla de Contenidos: “…-- Cybersecurity Means Different Things to Different Folks -- Cybersecurity Is a Constantly Moving Target -- Technological changes -- Digital data -- The Internet -- Cryptocurrency -- Mobile workforces and ubiquitous access -- Smart devices -- Big data -- The COVID-19 pandemic -- Social shifts -- Economic model shifts -- Political shifts -- Data collection -- Election interference -- Hacktivism -- Greater freedom -- Sanctions -- New balances of power -- Looking at the Risks Cybersecurity Mitigates -- The goal of cybersecurity: The CIA Triad -- From a human perspective -- Chapter 2 Getting to Know Common Cyberattacks -- Attacks That Inflict Damage -- Denial-of-service (DoS) attacks -- Distributed denial-of-service (DDoS) attacks -- Botnets and zombies -- Data destruction attacks -- Is That Really You? …”

Tabla de Contenidos: “…-- Pillars of modern data architecture on AWS -- Analytics case studies on AWS -- Case study - data analytics -- Case study - big data and data lake -- Summary -- Part 3: Security and Networking Transformation -- Chapter 10: Transforming Security on the Cloud Using AWS -- Understanding the security implications of digital transformation -- Introducing security on the cloud -- Data security -- Identity and access management (IAM) -- Compliance -- Governance -- Shared responsibility model -- Top cloud security considerations -- Architecting secure workloads on the cloud with AWS -- Building a threat model -- Identity and access management using AWS -- Understanding the concept behind IAM -- Features -- Business use cases -- Fraud and anomaly detection using AWS -- AWS Security Hub -- Amazon GuardDuty -- Network and application protection on AWS -- AWS services for host-level protection -- Data protection using AWS -- Data classification -- Protecting data at rest -- Protecting data in transit -- Summary -- Chapter 11: Transforming Networking on the Cloud Using AWS -- Introduction to networking on the cloud…”

Tabla de Contenidos: “…-- Motivations for writing your own programming language -- Types of programming language implementations -- Organizing a bytecode language implementation -- Languages used in the examples -- The difference between programming languages and libraries -- Applicability to other software engineering tasks -- Establishing the requirements for your language -- Case study - requirements that inspired the Unicon language -- Unicon requirement #1 - preserve what people love about Icon -- Unicon requirement #2 - support large-scale programs working on big data -- Unicon requirement #3 - high-level input/output for modern applications -- Unicon requirement #4 - provide universally implementable system interfaces -- Summary -- Questions -- Chapter 2: Programming Language Design -- Determining the kinds of words and punctuation to provide in your language -- Specifying the control flow -- Deciding on what kinds of data to support -- Atomic types -- Composite types -- Domain-specific types -- Overall program structure -- Completing the Jzero language definition -- Case study - designing graphics facilities in Unicon -- Language support for 2D graphics -- Adding support for 3D graphics -- Summary -- Questions -- Chapter 3: Scanning Source Code -- Technical requirements -- Lexemes, lexical categories, and tokens -- Regular expressions -- Regular expression rules -- Regular expression examples -- Using UFlex and JFlex -- Header section -- Regular expressions section -- Writing a simple source code scanner -- Running your scanner -- Tokens and lexical attributes -- Expanding our example to construct tokens -- Writing a scanner for Jzero -- The Jzero flex specification -- Unicon Jzero code…”

“…You'll learn about networking in AWS, big data and streaming data processing, CloudOps, and emerging technologies such as machine learning, IoT, and blockchain. …”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1: IoT architecture and design -- 1.1 Introduction -- 1.1.1 Challenges: IoT architecture drivers -- 1.1.2 Classical IoT architecture models -- 1.1.2.1 oneM2M architecture -- 1.1.2.2 IoT world forum reference model -- 1.1.3 Emerging IoT architecture models -- 1.1.4 Conclusion -- References -- Chapter 2: Application of Artificial Intelligence (AI) and the Internet of Things (IoT) in process industries toward Industry 4.0 -- 2.1 Introduction -- 2.1.1 1st industrial revolution -- 2.1.2 2nd industrial revolution -- 2.1.3 3rd industrial revolution -- 2.1.4 4th industrial revolution -- 2.2 Industry 4.0 -- 2.2.1 Need for Industry 4.0 -- 2.2.2 The Significance of Industry 4.0 -- 2.2.3 Technologies of Industry 4.0 -- 2.2.4 Nine components that are bringing about the transformation to Industry 4.0 -- 2.2.4.1 Cloud computing -- 2.2.4.2 Big data -- 2.2.4.3 The Internet of Things -- 2.2.4.4 Augmented reality -- 2.2.4.5 System integration: horizontal and vertical system integration -- 2.2.4.6 Cybersecurity -- 2.2.4.7 Simulation -- 2.2.4.8 Autonomous robot -- 2.2.4.9 Additive manufacturing -- 2.2.5 Issues and challenges faced by Industry 4.0 -- 2.3 Artificial intelligence -- 2.3.1 Artificial Intelligence: a brief history -- 2.3.2 Approach of Artificial Intelligence in Industry 4.0 -- 2.3.3 Key elements in Industrial AI -- 2.3.4 Industrial AI ecosystem -- 2.3.5 Limitations of industrial Artificial Intelligence -- 2.4 Examples -- 2.4.1 Automotive -- 2.4.1.1 Description -- 2.4.2 Food and beverage -- 2.4.2.1 Description -- 2.4.3 Medical equipment -- 2.4.3.1 Description -- 2.5 Conclusion -- Acknowledgements -- References…”

Tabla de Contenidos: “…The Post-Truth Era -- 15.1 Learning Outcomes -- 15.2 Introduction - Before and After COVID-19 -- 15.3 Technology - Big Data, Algorithms and Artificial Intelligence -- 15.4 Growth Areas in and Challenges for the PR Industry -- 15.5 Diversity and Inclusion -- 15.6 Careers and Internships -- References -- Index…”

Tabla de Contenidos: “…-- Intelligence at the edge versus on the cloud -- The Arduino ecosystem -- The IoT, big data, artificial intelligence, and machine learning -- The IoT, IIoT, and I4.0 -- Benefits for users -- The enablement of different business models -- Business models enabled by the IoT -- The architecture of an end-to-end IoT application -- Communication technologies and protocols -- Security aspects and device provisioning -- Hardware security -- Encryption for secure communication -- Bulk device provisioning -- Arduino PRO for commercial use cases -- Open source -- Benefits and obligations of different open source licenses -- The protection of your intellectual property -- Respect for the Arduino trademarks in commercial applications -- Summary -- Chapter 2: First Look at the Arduino IoT Cloud -- Technical requirements -- Understanding how the Arduino IoT Cloud works -- The Arduino IoT Cloud and the MKR1010 Hello World example -- What is the Arduino Create Agent? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credit -- Dedicated -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Diving into Amazon EC2 Fundamentals -- Chapter 1: Introduction to Amazon EC2 and Its Benefits -- Unveiling Amazon Web Services and EC2 -- Benefits of EC2 -- Amazon EC2 versus traditional hosting -- EC2 use cases -- Web application hosting -- Big data processing and analytics -- A multitude of other use cases -- Amazon EC2's standout features compared to other cloud platforms -- Summary -- Chapter 2: Understanding Core Components of Amazon EC2 -- Introduction to core components -- Amazon EC2 instances -- Definition and types of instances -- Instance lifecycle and instance states -- Instance state and instance lifecycle use cases for instance management -- Instance metadata and user data -- What is instance metadata and user data? …”

Tabla de Contenidos: “…-- 1.3.7 Advantages and Disadvantages of AI in Post COVID Era -- 1.4 Conclusion -- References -- 2 Healthcare System 4.0 Perspectives on COVID-19 Pandemic -- 2.1 Introduction -- 2.2 Key Techniques of HCS 4.0 for COVID-19 -- 2.2.1 Artificial Intelligence (AI) -- 2.2.2 The Internet of Things (IoT) -- 2.2.3 Big Data -- 2.2.4 Virtual Reality (VR) -- 2.2.5 Holography -- 2.2.6 Cloud Computing -- 2.2.7 Autonomous Robots -- 2.2.8 3D Scanning -- 2.2.9 3D Printing Technology -- 2.2.10 Biosensors -- 2.3 Real World Applications of HCS 4.0 for COVID-19 -- 2.4 Opportunities and Limitations -- 2.5 Future Perspectives -- 2.6 Conclusion -- References -- 3 Analysis and Prediction on COVID-19 Using Machine Learning Techniques -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Types of Machine Learning…”

Tabla de Contenidos: “…1.15.5 Superconductors -- 1.15.6 3D printing -- 1.15.7 Autonomous vehicle -- 1.16 Conclusion -- References -- Chapter 2: Advances of deep learning and related applications -- 2.1 Introduction -- 2.2 Deep learning techniques -- 2.3 Multilayer perceptron -- 2.4 Convolutional neural network -- 2.5 Recurrent neural network -- 2.6 Long-term short-term memory -- 2.7 GRU -- 2.8 Autoencoders -- 2.9 Attention mechanism -- 2.10 Deep generative models -- 2.11 Restricted Boltzmann machine -- 2.12 Deep belief network -- 2.13 Modern deep learning platforms -- 2.13.1 PyTorch -- 2.13.2 TensorFlow -- 2.13.3 Keras -- 2.13.4 Caffe (Convolutional architecture for fast feature embedding) and Caffe2 -- 2.13.5 Deeplearning4j -- 2.13.6 Theano -- 2.13.7 Microsoft cognitive toolkit (CNTK) -- 2.14 Challenges of deep learning -- 2.15 Applications of deep learning -- 2.16 Conclusion -- References -- Chapter 3: Machine learning for big data and neural networks -- 3.1 Introduction -- 3.2 Machine learning and fundamentals -- 3.2.1 Supervised learning -- 3.2.2 Decision trees -- 3.2.3 Linear regression -- 3.2.4 Naive Bayes -- 3.2.5 Logistic regression -- 3.3 Unsupervised learning -- 3.3.1 K-Means algorithm -- 3.3.2 Principal component analysis -- 3.4 Reinforcement learning -- 3.5 Machine learning in large-scale data -- 3.6 Data analysis in big data -- 3.7 Predictive modelling -- 3.7.1 Understanding customer behavior and preferences -- 3.7.2 The role of supply chain and performance management in organizational success -- 3.7.3 Management of quality and enhancement -- 3.7.4 Risk mitigation and detection of fraud -- 3.8 Neural networks -- 3.8.1 Artificial neural network -- 3.8.2 RNN -- 3.8.3 CNN -- 3.8.4 Deep learning using convolutional neural networks to find building defects -- 3.9 Data generation and manipulation -- 3.9.1 Generative Adversarial Networks…”

Tabla de Contenidos: “…Herranz Fernández -- Los efectos de la revolución del big data en el desarrollo del sector de la comunicación / Yuchen Jiang -- Empresas frente al COVID-19: comunicación empresarial en tiempos de solidaridad / Belen López -- Periodismo y turismo arqueológico. …”

Tabla de Contenidos: “…Cover -- A Roadmap for Selectinga Statistical Method -- Title Page -- Copyright Page -- About the Authors -- Brief Contents -- Contents -- Preface -- Resources for Success -- First Things First -- USING STATISTICS: "The Price of Admission" -- FTF.1 Think Differently About Statistics -- Statistics: A Way of Thinking -- Statistics: An Important Part of Your Business Education -- FTF.2 Business Analytics: The Changing Face of Statistics -- "Big Data" -- FTF.3 Starting Point for Learning Statistics -- Statistic -- Can Statistics ( pl., statistic) Lie? …”

Tabla de Contenidos: “…Visualizing uncertainty in opinions -- 3.6.2. Scaling up for big data -- 4. Conclusion -- References -- Chapter 12: Sentiment Analysis With SpagoBI -- 1. …”

“…Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. …”

Tabla de Contenidos: “…Intro -- Table of Contents -- Series Page -- Title Page -- Copyright Page -- Preface -- 1 Cyber Quantum Computing (Security) Using Rectified Probabilistic Packet Mark for Big Data -- 1.1 Introduction -- 1.2 Denial-of-Service Attacks -- 1.3 Related Work -- 1.4 Proposed Methodology -- 1.5 Trace Back Mechanism for Rectified Probabilistic Packet Marking -- 1.6 Conclusion -- References -- 2 Secure Distinctive Data Transmission in Fog System Using Quantum Cryptography -- 2.1 Introduction -- 2.2 Properties of Quantum Computing -- 2.3 Applications of Quantum Computing -- 2.4 Background -- 2.5 Literature Survey -- 2.6 Proposed Work -- 2.7 Analysis of the Study -- 2.8 Conclusion -- References -- 3 DDoS Attack and Defense Mechanism in a Server -- 3.1 Introduction -- 3.2 DoS Attack -- 3.3 DDoS Attack -- 3.4 DDoS Mitigation -- 3.5 Conclusion -- Acknowledgement -- References -- 4 Dark Web Content Classification Using Quantum Encoding -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Proposed Approach -- 4.4 Result and Discussion -- 4.5 Conclusion -- References -- 5 Secure E-Voting Scheme Using Blockchain -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Implementation and Methodology -- 5.4 Result Analysis &amp -- Output -- 5.5 Conclusion and Future Directions -- References -- 6 An Overview of Quantum Computingâ€"Based Hidden Markov Models -- 6.1 Introduction -- 6.2 Elaboration of Hidden Quantum Markov Model -- 6.3 Example of HQMMs (Isolated Word Recognition in Action) -- 6.4 Matching of State Observation Density -- 6.5 Conclusion and Results -- References -- 7 Artificial Intelligence and Qubit-Based Operating Systems: Current Progress and Future Perspectives -- 7.1 Introduction to OS, AI and ML -- 7.2 Learning Configurations -- 7.3 Building ML Models -- 7.4 Work Done in Improving Process Scheduling…”

Tabla de Contenidos: “…Allowing users to add dynamic components to the app -- Introducing pattern-matching callbacks -- Summary -- Chapter 11: URLs and Multi-Page Apps -- Technical requirements -- Getting to know the Location and Link components -- Getting to know the Link component -- Parsing URLs and using their components to modify parts of the app -- Restructuring your app to cater to multiple layouts -- Displaying content based on the URL -- Adding dynamically generated URLs to the app -- Incorporating the new URL interactivity into the app -- Summary -- Chapter 12: Deploying Your App -- Technical requirements -- Establishing the general development, deployment, and update workflow -- Creating a hosting account and virtual server -- Connecting to your server with SSH -- Running the app on the server -- Setting up and running the app with a WSGI -- Setting up and configuring the web server -- Managing maintenance and updates -- Fixing bugs and making changes -- Updating Python packages -- Maintaining your server -- Deploying and scaling Dash apps with Dash Enterprise -- Initializing the app -- Building your application (optional) -- Preparing your project folder -- Deploying your application on Dash Enterprise -- Summary -- Chapter 13: Next Steps -- Technical requirements -- Expanding your data manipulation and preparation skills -- Exploring more data visualization techniques -- Exploring other Dash components -- Creating your own Dash component -- Operationalizing and visualizing machine learning models -- Enhancing performance and using big data tools -- Going large scale with Dash Enterprise -- Dash Design Kit -- App Manager -- Snapshot Engine -- Better performance with Job Queue -- Corporate security -- Consulting services -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Intro -- Preface -- PATTERN RECOGNITION IN BIOMEDICAL DATA: CHALLENGES IN PUTTING BIG DATA TO WORK -- Session introduction -- Introduction -- References -- Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes -- 1. …”