The new Information and Uncertainty Discussion Group will be a forum for open inquiry and engaging discussion about a wide range of recurring data science fundamentals, including information, uncertainty, entropy, bits, probability, machine learning, generalization, and others. Hosted by BIDS Senior Fellow Gerald Friedland, the group will facilitate academic discourse on the practical use of the fundamental concepts across a wide variety of research disciplines, and strive for clarity and understanding using real-world scenarios, visual examples, cutting edge questions and unique perspectives.
This interdisciplinary discussion forum will bring together a wide range of researchers engaged in the scientific discipline of data science. All interested members of the UC Berkeley, LBL and LLNL communities are welcome and encouraged to attend. More details available at http://compdatascience.org/entropy.
'Information and Uncertainty in Data Science' Discussion Group
Date: Biweekly on Fridays, starting on October 5, 2018
Time: 11:00 AM - 12:00 PM
Location: 190B Doe Library, UC Berkeley