This is a two-part blog series which I wish to have a discussion on how we approach technical interviews.
My thoughts on a paper about a vision-based social distancing and critical density detection system using Deep CNNs and Linear Regression — from Ohio State University.
We all know that there is a huge demand for qualified data scientists in the industry. So how are we exposing the world of data science to students?
A code-along of Random Forest, AdaBoosting and Gradient Boosting methods for Data Science beginners.
Data requires a trained voice in order to transform it into knowledge. We, as data scientists, are that voice and I think that is a pretty powerful thing in itself.