Machine learning is a set of methods and tools that help achieve the goal of artificial intelligence.
In machine learning, the model learns the relationship between input and output during training, unlike traditional programming where logic is explicitly coded by humans.
Key questions to distinguish AI/ML from regular programming include the type of model used, whether the system learns and improves over time, and if labeled data is utilized for evaluation.
Some vendors falsely claim AI/ML capabilities when it is just regular programming, leading to credibility issues.