O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国

专家见面会——Lukas Biewald (Crowdflower)(Meet the Expert with Lukas Biewald, Crowdflower)

This will be presented in English.

Lukas Biewald (CrowdFlower)
14:00–14:40 Saturday, 2017-07-15
英文讲话 (Presented in English)
地点: O’Reilly展位A桌 (Table A in O'Reilly Booth)

训练数据收集的最佳实践,以及Crowdflower的客户如何使用“机器学习循环中的人类”使对于关键任务应用里部署不完善的机器学习算法成为可能。 如何最好地利用训练数据,以及如何使你的机器学习运作良好。


Best practices in training data collection and human-in-the-loop computing to make it possible to deploy imperfect machine learning algorithms for mission critical application. Lukas Biewald explains how you can make the best possible use of training data and why it is essential to making your machine learning work well.

Photo of Lukas Biewald

Lukas Biewald

CrowdFlower

Lukas Biewald is the founder and chief data scientist of CrowdFlower, a data enrichment platform that taps into an on-demand workforce to help companies collect training data and do human-in-the-loop machine learning. Previously, he led the Search Relevance team for Yahoo Japan and worked as a senior data scientist at Powerset. Lukas was recognized by Inc. magazine as a 30 under 30. Lukas holds a BS in mathematics and an MS in computer science from Stanford University. He is also an expert Go player.

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