图 书 馆
通过大规模众包进行高效数据收集的实践Practice of Efficient Data Collection via Crowdsourcing at Large-Scale |
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| 课程网址: | http://videolectures.net/kdd2019_drusta_fedorova_zerminova/ |
| 主讲教师: | Alexey Drutsa |
| 开课单位: | 扬德克斯 |
| 开课时间: | 2020-03-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this tutorial, we present you a portion of unique industrial practical experience on efficient data labeling via crowdsourcing shared by both leading researchers and engineers from Yandex. Majority of ML projects require training data, and often this data can only be obtained by human labelling. Moreover, the more applications of AI appear, the more nontrivial tasks for collecting human labelled data arise. Production of such data in a large-scale requires construction of a technological pipeline, what includes solving issues related to quality control and smart distribution of tasks between workers. We will make an introduction to data labeling via public crowdsourcing marketplaces and will present key components of efficient label collection. This will be followed by a practical session, where participants will choose one of real label collection tasks, experiment with selecting settings for the labelling process, and launch their label collection project at Yandex.Toloka, one of the largest crowdsourcing marketplace. The projects will be run on real crowds within the tutorial session. Finally, participants will receive a feedback about their projects and practical advices to make them more efficient. We invite beginners, advanced specialists, and researchers to learn how to collect labelled data with good quality and do it efficiently. |
| 关 键 词: | 通过大规模众包; 进行高效数据收集; 数据收集的实践 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-14：cyh |
| 最后编审: | 2022-09-19：cyh |
| 阅读次数: | 42 |