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数据科学与机器学习

Data Science and Machine Learning at Scale
课程网址: http://videolectures.net/ecmlpkdd2011_sundaresan_data/  
主讲教师: Neel Sundaresan
开课单位: 易趣研究实验室
开课时间: 2011-10-03
课程语种: 英语
中文简介:
像eBay这样的大型社交商务网站必须不断努力构建可扩展的机器学习算法,用于搜索排名、推荐系统、分类等。大数据可用性既是一种恩惠也是一种诅咒。虽然它提供了更多的多样性观测,但同样的多样性、稀疏性和缺乏可靠的规模标注数据带来了新的挑战。此外,大数据的可用性有助于利用相关因素,同时需要创造性地丢弃无关数据。在本次讨论中,我们将从eBay的大数据问题的背景中讨论所有这些以及更多内容。
课程简介: Large Social Commerce Network sites like eBay have to constantly grapple with building scalable machine learning algorithms for search ranking, recommender systems, classification, and others. Large data availability is both a boon and curse. While it offers a lot more diverse observation, the same diversity with sparsity and lack of reliable labeled data at scale introduces new challenges. Also, availability of large data helps take advantage of correlational factors while requiring creativity in discarding irrelevant data. In this talk we will discuss all of this and more from the context of eBay’s large data problems.
关 键 词: 机器学习; 计算机科学; 数据挖掘
课程来源: 视频讲座网
最后编审: 2020-09-21:heyf
阅读次数: 35