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Beskrivning
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.
Omar Alonso is a Principal Data Scientist Lead at Microsoft in Silicon Valley where he works on the intersection of social media, information retrieval, knowledge graphs, and human computation. He holds a Ph.D. from the University of California at Davis and an undergraduate degree from UNICEN, Argentina.
Innehållsförteckning
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 .