The video discusses the different types of machine learning used in artificial intelligence (AI). It explains unsupervised learning, where patterns and similarities are identified without human guidance. It then describes supervised learning, where doctors and computer scientists actively participate in training algorithms for specific tasks. Lastly, reinforcement learning is explained, which uses feedback to create personalized treatment plans. The video emphasizes that these techniques have their own strengths and weaknesses and are best suited for different tasks. The use of multiple techniques together allows AI systems to supervise and teach each other. However, as AI becomes more involved in our lives, it becomes challenging to understand the decision-making processes of self-taught algorithms.
Diagnose: To identify or determine the nature of a medical condition.
Parameters: Factors or variables that define the characteristics or behaviour of a system.
Optimal: Best or most effective in a given situation.
Ethically: In a morally acceptable or right manner.