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Set up in 2017, the LSESU Machine Learning Society aims to increase the LSE community’s understanding of machine learning, its potential applications and equip members with relevant competencies. Since then, we have expanded to consider not only machine learning, but wider Data Science skills.
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 aims of the society are:
a. Introduce the scope and potential of data science and its applications to students of all backgrounds.
b. Equip members with foundational data science skills and provide opportunities to apply these skills to solve problems in a range of contexts, including but not limited to the Social Sciences and Finance
Provide LSE students with opportunities to engage with data science practitioners in industry and enhance their exposure to real-world use cases of data science
d.Engage and collaborate with the wider LSE community, including societies and academic departments.
4 posts are up for election.
The polls have closed.
7 posts are up for election.
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