How To Compute Confidence Measure For SVM Classifiers

Support Vector Machines are machine learning models that are used to classify data. Let's say you want to build a system that can automatically identify if the input image contains a given object. For ease of understanding, let's limit the discussion to three different types of objects i.e. chair, laptop, and refrigerator. To build this, … Continue reading How To Compute Confidence Measure For SVM Classifiers

Understanding Filter, Map, And Reduce In Python

Even though lot of people use Python in an object oriented style, it has several functions that enable functional programming. For those of you who don't know, functional programming is a programming paradigm based on lambda calculus that treats computation as an evaluation of mathematical functions. Some of prominent functional programming languages include Scala, Haskell, … Continue reading Understanding Filter, Map, And Reduce In Python

Dissecting Bias vs. Variance Tradeoff In Machine Learning

I was recently working on a machine learning problem when I stumbled upon an interesting question. I wanted to build a machine learning model using a labeled dataset that can classify an unknown image. It's a classic supervised learning problem! I was not exactly sure how the model would turn out, so I had to … Continue reading Dissecting Bias vs. Variance Tradeoff In Machine Learning

Installing OpenCV 3 With Python On Mac OS X

OpenCV is the world's most popular computer vision library and it's used extensively by researchers and developers around the world. OpenCV has been around for a while now and they add something new and interesting with every new release. One of the main additions of OpenCV 3 is "opencv_contrib" which contains a lot of cutting … Continue reading Installing OpenCV 3 With Python On Mac OS X