Workshop on Theoretical Foundations of Machine Learning for Economics (Part 2)
Respected faculty members and students,
Department of Economics, IBA cordially invites you to a two-day workshop "Theoretical Foundations of Machine Learning for Economics (Part 2)" on Wednesday, April 14th, 2021 and Thursday, April 15th, 2021. The resource person is Sonan Ahmed Memon, who is a faculty member at IBA and has studied machine learning during his stay at Oxford University, UK for his MPhil degree in Economics. The target group is graduate (MS/MPhil and PhD) students in economics, however, faculty members and researchers who are interested in machine learning in economics may attend the workshop.
This is part 2 of the online workshop series which focuses on the basics of machine learning and its application to economics. Part 1 of this workshop series was conducted in December 2020 and it is available on YouTube (links are shared below).
Part 1, Lecture 1: https://www.youtube.com/watch?v=E9dLEAZW3L4&t=3979s
Part 1, Lecture 2: https://www.youtube.com/watch?v=O59hs8dKfGg&t=50sThe program and schedule of the workshop is as follows.
Lecture 3: Introduction to Deep Neural Networks
Date & Time: Wednesday, April 14th, 2021 at 04:00 P.M. to 06.00 P.M.
Content: Deep, Feed Forward Networks, Activation Functions, Gradient Based Learning, Network Design, Backpropagation, Stochastic Gradient Descent, Regularization, Economic Applications and Brief Discussion of Implementation in R.
Lecture 4: Computational Linguistics: Text as Data
Date & Time: Thursday, April 15th, 2021 at 04:00 P.M. to 06:00 P.M.
Content: Representing Text as Data, Dimension Reduction, Text Regression, Generative Language Models, LDA (Latent Dirichlet Allocation) and Topical Modelling, Economic Applications and Brief Discussion of Implementation in R.
Meeting ID: 885 8197 2000