This talk will discuss how causal inference can be used to more reliably evaluate the performance and equity implications of machine learning algorithms used…
Browsing: Evaluation
This article discusses the progress that has been made in the field of Artificial Intelligence (AI) in terms of safeguards, implementation, and conceptual frameworks.…
This article discusses four powerful ways to ensure effective data analysis in data science projects. It highlights the importance of qualitative methods, data manipulation,…
PyTorch is a popular open-source machine-learning library that has recently gained immense popularity among data scientists and researchers. This blogpost explores some of the…