图 书 馆
数据科学，机器学习和大数据：当前趋势Data Science, Machine Learning and Big Data: Current trends |
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| 课程网址: | http://videolectures.net/AIindustrySeminar2019_lavrac_big_data/ |
| 主讲教师: | Nada Lavrač |
| 开课单位: | 约瑟夫·斯特凡学院 |
| 开课时间: | 2020-05-18 |
| 课程语种: | 英语 |
| 中文简介: |  机器学习是计算机科学最繁荣的领域之一。传统上，机器学习与在单个数据表中存储的数据中的模型，模式和其他规则的发现有关。随着大数据的到来，机器学习研究获得了更多动力，因此需要分析在结构化关系数据库，非结构化文本和图像，异构数据格式以及数据流中收集的大量数据。本讲座概述了该研究领域的最新趋势，最近被称为数据科学。 |
| 课程简介: | Machine Learning is one of the most flourishing areas of computer science. Traditionally, machine learning was concerned with the discovery of models, patterns, and other regularities in data stored in single data tables. Machine learning research gained additional momentum with the advent of big data, resulting in the need of analyzing huge amounts of data gathered in structured relational databases, unstructured texts and images, heterogeneous data formats as well as data streams. This lecture outlines some of the current trends in this research area, recently named data science. |
| 关 键 词: | 机器学习; 大数据; 数据科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-11-23：cjy |
| 最后编审: | 2021-01-15：yumf |
| 阅读次数: | 19 |