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With the increased availability of large data sets and the importance of predicting outcomes rather than just explaining them in the social sciences, Machine Learning is starting to become a popular tool. However, both the theory and application of Machine Learning methods remains detached from the research and teaching we are exposed to. The reason is that it requires some practical understanding of Computer Science techniques and mathematical intuition for statistical learning theory. This society aims at addressing the broadening interface between ML and social science by empowering students with the right tools to be able to understand and deploy ML methods to solve their data driven questions.
The main goals are as follows:
1. Equip LSE students with the CS tools and statistics knowledge necessary for Machine Learning
2. Increase the understanding of Machine Learning methods for Econometrics, Economics and its Social Science applications
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