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The Routledge Companion to Managing Digital Outsourcing
This unique comprehensive collection presents the latest multi-disciplinary research in strategic digital outsourcing and digital business strategy, providing a management decision-making framework for successful long-term relationships and collaboration based on trust and governance. Part I: Innovation in Business Models and Digital Outsourcing takes an internal company perspective on strategic digital outsourcing, and the importance of trust in outsourcing relationships. Part II: Inter-organizational Relations and Transfer explores topics underpinning service recipients and service suppliers’ relationships including governance, knowledge transfer and legal aspects. Part III: From On-site...
Web 2.0 and Beyond
Web 2.0 and Beyond: Principles and Technologies draws on the author’s iceberg model of Web 2.0, which places the social Web at the tip of the iceberg underpinned by a framework of technologies and ideas. The author incorporates research from a range of areas, including business, economics, information science, law, media studies, psychology, social informatics and sociology. This multidisciplinary perspective illustrates not only the wide implications of computing but also how other areas interpret what computer science is doing. After an introductory chapter, the book is divided into three sections. The first one discusses the underlying ideas and principles, including user-generated cont...
Lean Principles for Process Optimization in the Energy Sector
The energy sector faces significant issues, including climate change and energy security, renewable energy integration, and infrastructure challenges. These issues demand innovative solutions and policy changes to ensure a sustainable and reliable energy future. Lean Principles can significantly benefit the energy sector by reducing waste, improving efficiency, and lowering costs, ultimately contributing to a more sustainable and competitive industry. Through interviews with the director of continuous improvement for a large metropolitan energy company, this book relates the journey of learning and growth as shared through storytelling, reflecting, and releasing tested wisdom. By fostering a...
Big Data Analytics in Cognitive Social Media and Literary Texts
This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.
Python for Unix and Linux System Administration
A guide to using the Python computer language to handle a variety of tasks in both the Unix and Linux servers.
Data Scientist Diploma (master's level) - City of London College of Economics - 6 months - 100% online / self-paced
Overview This diploma course covers all aspects you need to know to become a successful Data Scientist. Content - Getting Started with Data Science - Data Analytic Thinking - Business Problems and Data Science Solutions - Introduction to Predictive Modeling: From Correlation to Supervised Segmentation - Fitting a Model to Data - Overfitting and Its Avoidance - Similarity, Neighbors, and Clusters Decision Analytic Thinking I: What Is a Good Model? - Visualizing Model Performance - Evidence and Probabilities - Representing and Mining Text - Decision Analytic Thinking II: Toward Analytical Engineering - Other Data Science Tasks and Techniques - Data Science and Business Strategy - Machine Learning: Learning from Data with Your Machine. - And much more Duration 6 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.
The Canon EOS Digital Rebel XSi/450D Companion
This resource walks Rebel XSi owners through the various features of their camera, taking them through the fundamentals of photography and showing them how to see, think, and work in a way that can lead to better pictures.
Head First Statistics
"Head First Statistics" brings a typically difficult subject to life, teaching readers everything they want and need to know about statistics through engaging, interactive, and thought-provoking material, full of puzzles, stories, quizzes, visual aids, and real-world examples.
Unix in a Nutshell
A guide to the operating system's commands and options covers the shell, package management, text editing, source code management, and GDB debugger.
Retro Gaming Hacks
Describes how to adapt old video games to new video and computer equipment.
