Workshop for Women in Machine Learning

机器学习是计算机科学研究中发展最快的领域之一。搜索引擎、人脸识别、DNA序列分析、语音和手写识别、信用卡欺诈检测、早产儿监测和自主运动只是机器学习常规应用的一部分。尽管有各种各样的机器学习技术和应用，但女性研究人员的比例低于计算机科学的许多其他领域。大多数从事机器学习的女性很少有机会与其他女性研究人员互动，这使得她们很容易感到孤立，也很难找到榜样。这个为期一天的研讨会，与格蕾丝·霍珀计算女性庆祝活动位于同一地点，为机器学习社区的女性教师，研究科学家和研究生提供了一个见面，交流思想和相互学习的机会，同时为计算机科学其他领域的女性提供了一个机会，了解一个不断发展的领域的前沿研究。将处于职业生涯不同阶段的女性聚集在一起，为成熟的研究人员提供了充当导师的机会，并使年轻女性能够在机器学习领域找到女性榜样。此外，研讨会为建立新的联系和研究合作提供了一个论坛，从而推动了最先进的技术。

Machine learning is one of the fastest growing areas of computer science research. Search engines, face recognition, DNA sequence analysis, speech and handwriting recognition, credit card fraud detection, premature baby monitoring and autonomous locomotion are just some of the applications in which machine learning is routinely used.Despite the variety of machine learning techniques and applications, the percentage of female researchers is lower than in many other areas of computer science. Most women working in machine learning rarely get the chance to interact with other female researchers, making it easy to feel isolated and hard to find role models.This one-day workshop, which is co-located with the Grace Hopper Celebration of Women in Computing, gives female faculty, research scientists and graduate students in the machine learning community an opportunity to meet, exchange ideas and learn from each other, while providing women in other areas of computer science an opportunity to learn about cutting-edge research in a growing field.Bringing together women from different stages of their careers gives established researchers the opportunity to act as mentors, and enables junior women to find female role models in the field of machine learning. Additionally, the workshop provides a forum for establishing new connections and research collaborations, thereby advancing the state-of-the-art.