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Taschenbuch. Zustand: Neu. Neuware - Step into the world of modern software delivery with this comprehensive guide to DevOps. Designed for students, beginners, IT professionals, and aspiring engineers, this book explains the core concepts, tools, workflows, and best practices used in today's fast-paced software industry.The book… provides a clear understanding of the DevOps lifecycle, including Continuous Integration (CI), Continuous Delivery (CD), automation, containerization, cloud computing, infrastructure management, monitoring, and collaboration between development and operations teams. Practical examples, real-world workflows, diagrams, and industry-focused explanations help readers build both theoretical knowledge and practical skills.Inside this book, readers will explore: - Fundamentals and principles of DevOps- Linux basics and shell scripting- Version control using Git and GitHub- Continuous Integration and Continuous Deployment pipelines- Containerization with Docker- Orchestration concepts with Kubernetes- Infrastructure as Code (IaC)- Cloud and deployment strategies- Monitoring, logging, and automation tools- Security practices in DevOps environments- Real-world case studies and best practicesWhether you are preparing for academic courses, technical interviews, certifications, or industry projects, this book serves as a practical learning companion for mastering DevOps technologies and workflows.Perfect for: - Engineering and computer science students- Beginners entering IT and cloud technologies- Software developers and system administrators- DevOps enthusiasts and professionals- Faculty members and training institutionsLearn how modern organizations build, test, deploy, and manage applications efficiently using DevOps practices and tools.
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Taschenbuch. Zustand: Neu. Neuware - Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies.MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed,…deployed, monitored, and maintained in real-world environments.This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement.Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications.
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Taschenbuch. Zustand: Neu. Neuware - Unlock the power of data with this beginner-friendly guide to Data Science. Introduction to Data Science is designed for students, beginners, researchers, and aspiring professionals who want to understand how data is collected, analyzed, visualized, and transformed into meaningful insights.Th…is book provides a clear introduction to the fundamental concepts, techniques, tools, and applications of Data Science using simple explanations and practical examples. Readers will learn about data analysis, statistics, data preprocessing, visualization, machine learning basics, and modern data-driven decision-making approaches used across industries.Inside this book, readers will explore: - Fundamentals of Data Science- Data Collection and Data Preparation- Exploratory Data Analysis (EDA)- Statistical Concepts for Data Science- Data Visualization Techniques- Introduction to Machine Learning- Python for Data Science- Big Data and Real-World Applications- Data Ethics and Decision Making- Industry Use Cases and Practical ExamplesWhether you are preparing for academics, projects, interviews, research, or a career in technology, this book serves as an essential starting point for learning modern Data Science concepts and workflows.Perfect for: - Engineering and degree students- Beginners entering Data Science and AI- Researchers and educators- Developers and technology enthusiasts- Self-learners and certification aspirantsBuild a strong foundation in Data Science and begin your journey into the world of intelligent data-driven technologies.
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Taschenbuch. Zustand: Neu. Neuware - Unlock the power of data through clear and engaging visuals. Data Visualization is a practical guide designed for students, educators, researchers, and professionals who want to transform raw data into meaningful insights. This book covers: - Principles of effective visualization- Charts, gra…phs, and dashboards- Interactive and geospatial visualizations- Visual storytelling techniques- Best practices for clarity and impact Whether you are a beginner or an aspiring data analyst, this book provides the knowledge and practical understanding needed to communicate data effectively.
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Paperback. Zustand: new. Paperback. Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies.MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed, d…eployed, monitored, and maintained in real-world environments.This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement.Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Zustand: new. Paperback. Step into the world of modern software delivery with this comprehensive guide to DevOps. Designed for students, beginners, IT professionals, and aspiring engineers, this book explains the core concepts, tools, workflows, and best practices used in today's fast-paced software industry.The book…provides a clear understanding of the DevOps lifecycle, including Continuous Integration (CI), Continuous Delivery (CD), automation, containerization, cloud computing, infrastructure management, monitoring, and collaboration between development and operations teams. Practical examples, real-world workflows, diagrams, and industry-focused explanations help readers build both theoretical knowledge and practical skills.Inside this book, readers will explore: Fundamentals and principles of DevOpsLinux basics and shell scriptingVersion control using Git and GitHubContinuous Integration and Continuous Deployment pipelinesContainerization with DockerOrchestration concepts with KubernetesInfrastructure as Code (IaC)Cloud and deployment strategiesMonitoring, logging, and automation toolsSecurity practices in DevOps environmentsReal-world case studies and best practicesWhether you are preparing for academic courses, technical interviews, certifications, or industry projects, this book serves as a practical learning companion for mastering DevOps technologies and workflows.Perfect for: Engineering and computer science studentsBeginners entering IT and cloud technologiesSoftware developers and system administratorsDevOps enthusiasts and professionalsFaculty members and training institutionsLearn how modern organizations build, test, deploy, and manage applications efficiently using DevOps practices and tools. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Zustand: new. Paperback. Unlock the power of data with this beginner-friendly guide to Data Science. Introduction to Data Science is designed for students, beginners, researchers, and aspiring professionals who want to understand how data is collected, analyzed, visualized, and transformed into meaningful insights.Thi…s book provides a clear introduction to the fundamental concepts, techniques, tools, and applications of Data Science using simple explanations and practical examples. Readers will learn about data analysis, statistics, data preprocessing, visualization, machine learning basics, and modern data-driven decision-making approaches used across industries.Inside this book, readers will explore: Fundamentals of Data ScienceData Collection and Data PreparationExploratory Data Analysis (EDA)Statistical Concepts for Data ScienceData Visualization TechniquesIntroduction to Machine LearningPython for Data ScienceBig Data and Real-World ApplicationsData Ethics and Decision MakingIndustry Use Cases and Practical ExamplesWhether you are preparing for academics, projects, interviews, research, or a career in technology, this book serves as an essential starting point for learning modern Data Science concepts and workflows.Perfect for: Engineering and degree studentsBeginners entering Data Science and AIResearchers and educatorsDevelopers and technology enthusiastsSelf-learners and certification aspirantsBuild a strong foundation in Data Science and begin your journey into the world of intelligent data-driven technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Zustand: new. Paperback. Unlock the power of data through clear and engaging visuals. Data Visualization is a practical guide designed for students, educators, researchers, and professionals who want to transform raw data into meaningful insights. This book covers: Principles of effective visualizationCharts, graphs,…and dashboardsInteractive and geospatial visualizationsVisual storytelling techniquesBest practices for clarity and impact Whether you are a beginner or an aspiring data analyst, this book provides the knowledge and practical understanding needed to communicate data effectively. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
