Dear Doctor

"Artificial Intelligence is the concept of creating smart intelligent machines.

Machine Learning is a subset of artificial intelligence that helps you build AI-driven applications.

Deep Learning is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model."

The three things are closely related.

Artificial Intelligence (AI) is basically a broad field that seeks to develop machines capable of performing tasks that require human intelligence. this means that in addition to being able to interact with humans, it must have intelligence. Machine Learning (ML) is a branch of AI that focuses on creating models that allow computers to learn and improve with experience without the need for explicit programming, i.e. this area corresponds to the intelligent part of AI. Finally, Deep Learning (DL) is a branch of ML that uses deep neural networks to perform learning.

Artificial Intelligence (AI) is a wide-ranging area concentrated on developing machines that can carry out tasks that typically necessitate human intelligence. Machine Learning (ML), which is a part of AI, consists of using algorithms to teach machines how to learn from data and make predictions or choices. Deep Learning (DL) is a more specialized form of Machine Learning (ML) that utilizes multi-layered neural networks to automate the recognition of complex patterns. In summary, AI encompasses the overall objective of creating intelligent machines, ML is the method used to achieve this, and DL is a complex technique within ML for managing complicated tasks.

Ariticial Intelligence is the ability that allows machine is to imitate certain functions of human intelligence.

Machine Learning is the ability to learn without direct instructions based on mathematical data models.

Deep Learning is a more complex and specialized version of Machine Learning which usually uses more complicated data structures and much more training information.

Artificial Intelligence (AI) is the broader field aiming to create intelligent machines. Machine Learning (ML) is a subset of AI, focusing on algorithms that learn from data. Deep Learning (DL) is a specialized form of ML, employing deep neural networks for complex pattern recognition and representation learning.