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拥抱不确定性:应用机器学习成为时代

Embracing Uncertainty: Applied Machine Learning Comes of Age
课程网址: http://videolectures.net/ecmlpkdd2011_bishop_embracing/  
主讲教师: Christopher Bishop
开课单位: 微软公司
开课时间: 2011-10-03
课程语种: 英语
中文简介:
在过去十年中,部署的机器学习应用程序的数量迅速增长,其中包括推荐系统和网络搜索,垃圾邮件过滤器和语音识别等领域的示例。最近,Kinect 3D全身运动传感器依赖于机器学习,已成为历史上销售最快的消费电子设备。诸如广泛的互联网连接的在过去的十年里,机器学习应用的部署数量迅速增长,其应用领域从推荐系统和网络搜索,到垃圾邮件过滤器和语音识别。最近,Kinect 3D全身运动传感器成为历史上销售最快的消费类电子设备,它的关键在于机器学习。随着数据存储的集中化,互联网连接的普及,以及计算效率高的概率推理的新算法的出现,这些发展将在未来几年为机器学习创造许多新的机会。讲座将通过教程示例、现场演示和实际案例研究进行说明。出现,其数据存储的集中化以及用于计算有效的概率推理的新算法的发展将在未来几年中为机器学习创造许多新的机会。讲座将通过教程示例,现场演示和现实案例研究进行说明。
课程简介: Over the last decade the number of deployed applications of machine learning has grown rapidly, with examples in domains ranging from recommendation systems and web search, to spam filters and voice recognition. Most recently, the Kinect 3D full-body motion sensor, which relies crucially on machine learning, has become the fastest-selling consumer electronics device in history. Developments such as the advent of widespread internet connectivity, with its centralisation of data storage, as well as new algorithms for computationally efficient probabilistic inference, will create many new opportunities for machine learning over the coming years. The talk will be illustrated with tutorial examples, live demonstrations, and real-world case studies.
关 键 词: 机器学习; 推荐系统; 网络搜索; 垃圾邮件过滤器; 语音识别; 互联网; 数据存储集中化
课程来源: 视频讲座网
最后编审: 2020-04-23:chenxin
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