From Fighter Planes to Omics: Why Iterate?

You may have probably read Boyd’s law of iteration[1].  If you haven’t, already, have a look at it. In Roger’s words[2]: “In analyzing complexity, fast iteration almost always produces better results than in-depth analysis.” This is especially true of exploratory work, where the goals are not well defined, and can possibly change with time. Boyd’s … Continue reading From Fighter Planes to Omics: Why Iterate?

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