Supervised learning and unsupervised learning
This article explains about basic Machine Learning concepts of Supervised learning and Unsupervised learnings. Human learning happens with external sense objects. You can now read English because you have learned English, but if some text is in a language which you don’t know you cannot understand it. Same applies to data driven algorithms which utilizes the data to judge are loosely called Machine Learning algorithms. Let’s say, you want to develop Machine Learning algorithm to detect whether car exists in a image Supervised learning In supervised learning you'll label several images of cars and non-cars and an algorithm will eventually learn and be able to predict whether or not an unseen image has a car in it. For supervised learning the feeded data must be labeled, or explicitly mention which ones are cars and which ones aren't. When you complete a Captcha and identify the images that have cars, you’re labeling images! A supervised machine learning algorithm can now use t