What is the key difference between AI ML and DL ?

[Delano]

AI (Artificial Intelligence) and ML (Machine Learning) are two terms that have become increasingly popular in recent years. AI is the ability of a computer system to perform tasks that would normally require human intelligence. ML is a subset of AI that uses algorithms to learn from and make predictions based on data. DL (Deep Learning) is a subset of ML that uses neural networks to process data in order to make decisions.

The key difference between AI, ML and DL is the way they process data. AI is a general term that describes the ability of a computer system to perform tasks normally requiring human intelligence. ML algorithms are used to learn from data and make decisions, while DL algorithms use a deeper level of data processing to make decisions.

 

[Marlon]

What is AI, ML, and DL?

AI, ML, and DL are all types of advanced computing techniques used to address complex problems. AI stands for Artificial Intelligence, ML stands for Machine Learning, and DL stands for Deep Learning. AI is a type of computer programming that enables machines to learn and adapt to their environment. ML is a type of AI that uses algorithms to enable machines to learn from data and make decisions. DL is a type of ML that uses neural networks to enable machines to learn from large amounts of data.

What is the Key Difference Between AI ML and DL?

The key difference between AI ML and DL is that AI is a general term for any type of computer programming that enables machines to learn and adapt to their environment, while ML and DL are both types of AI. ML is a type of AI that uses algorithms to enable machines to learn from data and make decisions, while DL is a type of ML that uses neural networks to enable machines to learn from large amounts of data. AI can be used to solve a wide variety of problems, while ML and DL are more specialized techniques used to address specific problems.