算法、数据、硬件和工具-完美风暴Algorithms, Data, Hardware and Tools - a Perfect Storm |
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课程网址: | http://videolectures.net/kdd2018_liberty_smola_perfect_storm/ |
主讲教师: | Alex Smola |
开课单位: | 亚马逊 |
开课时间: | 2018-11-23 |
课程语种: | 英语 |
中文简介: | 在过去的十年中,深度学习已经彻底改变了数据挖掘和人工智能。有几个因素促成了这种良性循环,主要是云中数据的可用性以及可用于计算的硬件资源的转变,这些资源大多从内存密集型模型转向计算密集型模型。例如,由于廉价和普遍存在的传感器,可以获得大量的图像和视频数据。只有通过同样大量的低精度计算才能处理它们。同时,富有表现力的机器学习框架使统计建模人员能够轻松地设计复杂的模型并大规模部署它们,从而进一步增加了计算需求。在本次演讲中,我将阐述这些交互循环如何可能塑造未来的机器学习。 |
课程简介: | Over the past decade Deep Learning has revolutionized much of Data Mining and Artificial Intelligence. Several factors have contributed to this virtuous cycle, primarily the ready availability of data in the cloud and a shift in the hardware resources that can be used for computation, mostly away from memory intensive models to compute intensive ones. For instance, large amounts of image and video data are available thanks to cheap and ubiquitous sensors. Processing them is only possible with equally copious amounts of low-precision computation. At the same time, expressive machine learning frameworks have allowed statistical modelers to design complex models with ease and to deploy them at scale, thus increasing the demand for computation even further. In this talk I will illustrate how these interaction cycles are likely to shape machine learning in the future. |
关 键 词: | 深度学习; 内存密集型模型; 数据挖掘和人工智能 |
课程来源: | 视频讲座网 |
数据采集: | 2023-01-31:cyh |
最后编审: | 2023-01-31:cyh |
阅读次数: | 23 |