Khagol 119

| KHAG L | No. 119 - JULY 2019 | 07 Workshop on Data Analysis and Machine Learning Data science is now recognized as a new discipline, that deals with the acquisition, storage, retrieval, processing, and analysis of data. With the realization that knowledge lies mostly in data, the demand for scientists who are trained in data analysis is increasing. Many research areas like LHC, radio astronomy, genomics, molecular simulation, organic synthesis, climate science, etc. rely greatly on data and data analysis. With increase in the size of data, so called big-data, data science has moved into the realm of computer science, algorithms, and machine learning, that rely on statistics and several other mathematical techniques. Realising the relevance of data science, the Indian Institute of Science Education and Research (IISER) Tirupati, jointly with IUCAA, conducted a Workshop on Data Analysis and Machine Learning, duringMay 24 - 28, 2019. The workshop was at an introductory level, meant to train young researchers and students in the recent techniques of data analysis. The lecture sessions handled by 10 resource persons introduced statistical analysis, non-linear time series analysis, recurrence networks, Bayesian approaches, and machine learning algorithms. In addition, there were hands- on sessions every day, conducted by 11 researchers and experts, who trained the participants in the use of data sets from various research areas like astrophysics, cosmology, experiments, physiology, climate, etc. Around 50 participants of PhD students, post-doctoral fellows, post-graduate, and advanced under-graduate students from institutes, universities and colleges in India attended this workshop, which was coordinated by G. Ambika, andArunima Banerjee (both fromIISER, Tirupati), and RanjeevMisra (IUCAA).