Machine Learning is More Than Just Training Models
Machine learning (ML) is revolutionizing industries. But it’s not just about training models. The whole process includes many important stages that ensure accuracy, efficiency and use of the real world. Let's dive deeply about ML, which makes it more than algorithms and data . Understanding Machine Learning Beyond Models Many assume that machine learning is only about feeding data into an algorithm. But the real magic happens before and after training. From data preparation to deployment, each phase is equally important. 1. Data Collection and Preparation Machine learning starts with data. Quality matters more than quantity. Poor data leads to flawed models. Here’s what happens in this stage: Gathering relevant, high-quality data Cleaning and removing inconsistencies Handling missing values Formatting data for analysis Without well designed data, even the best algorithm fails. The data is the basis, and to ensure that it is accurate, diverse and represe...