Few month ago I had a chance to visit one technological summit driven by HortonWorks which was related to the evolution of Hadoop. There was a great number of amazing sessions held by different speakers who were describing their experience in working with Big Data. But one very important thing which I’ve noticed there was the fact that different projects and frameworks at some point were always somehow intersecting with another scope of problems called Machine Learning. This is probably one of the most exciting and interesting category of tasks solved by Big Data. That is why I decided to start covering this topic in my articles and today I’m going to tell you about one basic Machine Learning algorithm called Linear Regression.