JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - UNPB AU - Gonzalez Berges, M. AU - Lonza, M. ED - Furukawa, Kazuro ED - Yan, Yingbing ED - Leng, Yongbin ED - Chen, Zhichu ED - Schaa, Volker R.W. TI - Data Science and Machine Learning Workshop J2 - Proc. of ICALEPCS2021, Shanghai, China, 14-22 October 2021 CY - Shanghai, China T2 - International Conference on Accelerator and Large Experimental Physics Control Systems T3 - 18 LA - english AB - The fields of large scale data analytics and machine learning have made impressive progress in recent years. Many applications have been successful in applying techniques in these fields for problems in areas such as health, language processing, search engines, etc Many tools have been developed to facilitate the application of these techniques (e.g. libraries like Scikit-learn, TensorFlow, Keras, PyTorch, Apache Spark, etc). A growing number of examples of applications in accelerators and experimental physics installations have started to appear in the last years. The workshop will aim to share the experience gained in the development of some of these applications, whether successful or not. This should contribute to the continuous growth of the use of these methods in our systems. PB - JACoW Publishing CP - Geneva, Switzerland ER -