What is the goal of machine learning and how does it differ from traditional programming?
The goal of machine learning is to develop algorithms and models that enable computers to automatically learn and improve from experience, without being explicitly programmed. This differs from traditional programming, where explicit instructions are provided to perform specific tasks. Machine learning involves the creation and training of models that can learn patterns and make predictions
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Training a neural network to play a game with TensorFlow and Open AI, Introduction, Examination review
What is the difference between traditional programming and machine learning in terms of defining rules?
In the field of artificial intelligence, two distinct approaches can be observed when it comes to defining rules: traditional programming and machine learning. These approaches differ significantly in their methodology and the way rules are established. Traditional programming, also known as rule-based programming, involves explicitly defining rules and instructions for a computer program to follow.