图 书 馆
不仅仅是其各个部分的总和：构建Domino数据实验室More than the Sum of its Parts: Building Domino Data Lab |
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| 课程网址: | http://videolectures.net/kdd2017_de_la_rubia_domino_data_lab/ |
| 主讲教师: | Eduardo Ariño de la Rubia |
| 开课单位: | 脸书公司 |
| 开课时间: | 2017-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  工业始终利用最先进的定量研究技术。从金融，保险到市场营销和制造，效率和优势都通过度量，预测和见解的生成来抓住，但从未达到如此规模。以前可能雇用过一两个数据科学家的组织现在将工作规模扩大到数十个（如果不是数百个）从业人员。以前只有少数组织可以夸耀它们利用了机器学习和统计模型，而如今却很难找到一个未受影响的行业或参与者。现在，组织面临着赋权，扩展和衡量员工队伍以维持向预测经济转型的挑战。在本演讲中，我将讨论我们如何以及为什么构建Domino Data Lab平台。我将讨论将记录系统引入数据科学时我们在技术，组织和文化上所面临的挑战。 |
| 课程简介: | Industry has always leveraged cutting edge quantitative research techniques. From finance and insurance, to marketing and manufacturing, efficiencies and advantages have been seized through measurement, prediction, and the generation of insights' but never at this scale. Organizations which previously may have employed one or two data scientists are now scaling the work to dozens if not hundreds of practitioners. Where previously only a handful of organizations could boast that they were leveraging machine learning and statistical models, now it's a rarity to find an untouched industry or player. Organizations are now faced with the challenges of empowering, scaling, and measuring this workforce to sustain the transformation to the prediction economy. In this talk, I will discuss how and why we built the Domino Data Lab platform. I will talk about the challenges we faced technologically, organizationally and culturally when bringing a system of record to data science. |
| 关 键 词: | Domino数据实验室; 定量研究; 机器学习; 统计模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-05-07：zhouxj |
| 最后编审: | 2020-05-25：cxin |
| 阅读次数: | 23 |