I’ve been asked this question many times recently. The short answer is yes…and no. Keep reading to get a grasp on these two very important concepts and get to the long answer.
By Rafael Victória-Pereira
As explained in previous articles (parts 1, 2, and 3), having a lot of data is not, by itself, very helpful. You need tools (like the Hadoop Framework I covered in the last couple of articles) and techniques to extract value from the data. Machine Learning (ML) techniques are a good place to start. However, things get a bit fuzzy when you start reading about this topic, because it’s often mixed up with Artificial Intelligence (AI), and some articles go as far as saying that ML and AI are one and the same. This is not entirely correct. Let me start by explaining what ML is and how you can put it to good use with minimal effort.