Traditional apps vs ML apps

Machine learning is a part of artificial intelligence where a computer creates its own rules by studying sample data, whereas traditional artificial intelligence requires humans to define all the rules manually.

How AI and ML are connected

Machine learning exists as a branch or part of the larger field of artificial intelligence. A major development in artificial intelligence started only after the concept of machine learning arrived. Before machine learning was created, people used an approach called traditional artificial intelligence to train machines.

Classifying flowers with traditional AI

In traditional artificial intelligence, humans must program every rule into the machine beforehand. For example, to classify sunflowers and jasmines, people define exact rules about the color of the sunflower and the shape of its petals, along with similar rules for the jasmine. The system then processes incoming inputs strictly according to these preset rules to give an output.

Classifying flowers with machine learning

In the machine learning method, humans do not write rules about colors or petal shapes. Instead, humans provide the computer with examples, such as one hundred samples of sunflowers and jasmines. The computer processes all one hundred samples together and creates its own rules for the task. Once a new flower is shown to the machine, it classifies whether the flower is a sunflower or a jasmine and produces the output.

Why it is called machine learning

• The system inspects sample data instead of following human-made instructions.
• It automatically builds its own rules from the samples it processes.
• It uses those self-made rules to classify new inputs and give an output.
• The method is called machine learning because the machine itself learns from the data to deliver the result.