Difference between Artificial intelligence and Machine learning
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With the advancement of technology, the terms Artificial Intelligence (#AI) and Machine Learning (#ML) are becoming increasingly popular. Both AI and ML are based on the concept of making machines that can learn and function on their own.?
So, what is the difference between Artificial Intelligence and Machine Learning?
Artificial Intelligence is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act on their own. Artificial Intelligence can be used to create intelligent algorithms, which are used to make decisions and solve problems.
Machine Learning, on the other hand, is a subset of Artificial Intelligence that deals with the creation of algorithms that can learn on their own. Machine Learning algorithms are able to automatically improve given more data.
Both Artificial Intelligence and Machine Learning are used to make predictions. However, Machine Learning is more focused on making predictions based on data, while Artificial Intelligence is more focused on making predictions based on knowledge.
In conclusion, Artificial Intelligence and Machine Learning are similar in that they are both used to make predictions. However, Artificial Intelligence is more focused on making predictions based on knowledge, while Machine Learning is more focused on making predictions based on data. Artificial intelligence and machine learning are two different things. Artificial intelligence is the ability of a computer to learn and make decisions on its own. Machine learning is a type of artificial intelligence that allows a computer to learn from data.