Machine Learning

机器学习

• 批准号: 1000230673-2014
• 负责人: Schmidt, Mark
• 金额: $ 2.19万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695187
• 关键词: Machine; Learning

I work in the field of machine learning, which studies using computers to automatically detect patterns in data and to use these patterns to make predictions or help make decisions. Machine learning is one of the key tools we use to make sense of the enormous amounts of data we record. It is used in everyday tasks for e-mail spam filtering, product recommendations, and speech recognition. My research focus is large-scale machine learning, where we think about how to apply huge machine learning models to huge data sets.

我在机器学习领域工作，它研究使用计算机自动检测数据中的模式，并使用这些模式进行预测或帮助做出决策。机器学习是我们用来理解我们记录的海量数据的关键工具之一。它用于电子邮件垃圾邮件过滤、产品推荐和语音识别的日常任务中。我的研究重点是大规模机器学习，我们思考如何将巨大的机器学习模型应用于海量数据集。