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The Practice of Crowdsourcing
About this book
Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access The Practice of Crowdsourcing by Omar Alonso in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Networking. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Copyright Page
- Title Page
- Contents
- Preface
- Acknowledgments
- Introduction
- Designing and Developing Microtasks
- Quality Assurance
- Algorithms and Techniques for Quality Control
- The Human Side of Human Computation
- Putting All Things Together
- Systems and Data Pipelines
- Looking Ahead
- Bibliography
- Author's Biography