What is
Artificial intelligence
and machine learning
Artificial intelligence (AI) refers to the ability of a machine or computer system to perform tasks that normally require human intelligence, such as learning, problem-solving, decision-making, and language understanding. AI can be classified into two main categories: narrow and general. Narrow AI is designed to perform a specific task, while general AI is designed to perform a wide range of tasks.
Machine learning is a subset of AI that involves training algorithms on data to enable them to make predictions or decisions without being explicitly programmed. Machine learning algorithms can be classified into three main categories: supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning algorithms are trained on labeled data, meaning that the data includes both input data and the corresponding correct output. The goal of supervised learning is to make predictions based on this input-output mapping.
Unsupervised learning algorithms are trained on unlabeled data, meaning that the data only includes input data and no corresponding output. The goal of unsupervised learning is to discover patterns or relationships in the data.
Reinforcement learning algorithms are trained through trial and error, receiving rewards or punishments for their actions. The goal of reinforcement learning is to maximize the reward and make the best decision based on the available data.
