{"id":2364,"date":"2022-05-20T12:39:02","date_gmt":"2022-05-20T12:39:02","guid":{"rendered":"https:\/\/www.quickblio.com\/?p=2364"},"modified":"2022-05-20T12:39:02","modified_gmt":"2022-05-20T12:39:02","slug":"rule-based-ai-vs-machine-learning-for-development-differences","status":"publish","type":"post","link":"https:\/\/www.quickblio.com\/rule-based-ai-vs-machine-learning-for-development-differences\/","title":{"rendered":"Rule-Based AI vs. Machine Learning for Development: Differences"},"content":{"rendered":"\n

As a student of Computer Science or IT, you must have learned about data manipulation and its role in development. You must also be familiar with AI (Artificial Intelligence) and how the various technologies of AI, like machine learning (ML), help to build predictive models and implement different systems through the lifecycle of an application. <\/p>\n\n\n\n

However, an AI ML Certification<\/a> will help you understand what sets them apart, and where the application of each can be leveraged to get the most out of the predictive model. <\/p>\n\n\n\n

Companies must understand the core differences between AI and ML to reap their benefits and know their limitations before applying them to any business project. In these two examples of AI, the difference lies in the logic that sets them apart and the rules on which the systems operate via techniques called algorithms.<\/p>\n\n\n\n

Let us explore the two: the rules-based system vs. the learning-based approach.<\/p>\n\n\n