Principal Component Analysis on Big data

Problem Statement Principal component analysis (PCA) is a fairly common statistical technique used to reduce the dimensions of data containing a large set of interrelated variables. Problems start to arise when the number of observations and variables are very large. At this point classical PCA techniques require sizeable memory and immense computational time. While working with … Continue reading Principal Component Analysis on Big data

Breaking the Stereotype of Gender Biasness in Indian Tech Startups

After the blog by Susan Fowler and Indian Fowler, various articles came up about the lax laws against harassment in Indian startups, ‘bro-culture’ in startups or perhaps tech community in general. These things are not new, workplace harassment is still not tackled very well in Indian corporates, the tech community was never women-friendly, and these … Continue reading Breaking the Stereotype of Gender Biasness in Indian Tech Startups