Exhaustive and Randomized Grid Search A Machine Learning(ML) project starts with laying out a project outline and ends with deployment. These are accompanied by a multitude of intermediate steps like data collection, data preprocessing, choosing appropriate ML method, hyper-parameter selection, optimization and interpretation. As hyper-parameters are not directly learnt within…

NYT OpEd Summary Note: This is a summary of OpEd article with the same title (https://www.nytimes.com/2020/10/30/opinion/tech-companies-data.html)published in NYT on Oct 30,2020. I highly recommend you to go through the original full piece too. This is just a short summary of that. The article mainly talks about U.S. …