How Machine Learning Works: An Overview - The New Stack

Hence, the objective of all the machine learning algorithms is to estimate a predictive model that best generalizes to a particular type of data. Therefore, for solving a problem by machine learning, it is imperative to have a large number of examples that can be used by the learning algorithm to understand the system's behavior and similar kind of predictions can be generated by the system when the machine learning algorithm is presented with new examples of data. Although the learning task is not easy, with a better understanding of the different components of the machine learning and how they interact with each other, things will become clearer. In the subsequent posts, we will look at how the machine learning algorithms can be used to solve real-world problems.