S3E20: The Rise of Machine Learning in the Social Sciences with Doug Steinley
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Foundational Concepts of Machine Learning and Statistical Techniques
This chapter discusses the foundational concepts of machine learning, network analysis, and causal inference. It emphasizes the importance of understanding matrix algebra and various decomposition methods, as well as the gap between theoretical models and statistical models in data analysis.
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