图 书 馆
数据科学与娱乐制作Data Science and Entertainment Production |
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| 课程网址: | http://videolectures.net/kdd2018_walraven_entertainment_productio... |
| 主讲教师: | Jen Walraven |
| 开课单位: | 奈飞公司 |
| 开课时间: | 2018-09-24 |
| 课程语种: | 英语 |
| 中文简介: |  Netflix于2012年凭借其首个原始标题进入内容制作领域，此后已发展为在全球生产700多个原始标题。跨期制作（计划，预算等），制作（主要摄影），后期制作（编辑，混音等）以及本地化和质量控制（字幕创建，解决技术故障等），内容制作是消耗并生成大量数据的复杂操作。在整个过程中，分析，机器学习和优化的应用可以释放出更深刻的见解。将这些见解转化为可行的建议以及创意团队，可以在生产过程中引入巨大的效率和可扩展性。在本次演讲中，我们将讨论数据科学如何帮助解决生产空间中的关键挑战，以及转型中的娱乐业所面临的机遇。 |
| 课程简介: | Netflix entered the world of content production with its first Original title in 2012 and has since grown to produce over 700 Original titles around the world. Spanning pre-production (planning, budgeting, etc.), production (principal photography), post-production (editing, sound mixing, etc.), and localization and quality control (subtitle creation, resolving technical glitches, etc.), content production is a complex operation that consumes and generates significant amounts of data. Throughout this process, the application of analytics, machine learning, and optimization can unlock deeper insight. Translating this insight into actionable recommendations alongside creative teams can introduce tremendous efficiency and scalability into the production process. In this talk, we’ll discuss how data science can help tackle critical challenges in the production space, as well as opportunities on the horizon in a transforming entertainment industry. |
| 关 键 词: | Netflix; 内容制作; 数据科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-09：cjy |
| 最后编审: | 2020-12-18：yumf |
| 阅读次数: | 47 |