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  • By None
  • Oct. 22, 2022, 1:01 p.m.

what is the difference Between Machine Learning and Artificial Intelligence

 

Machine learning and artificial intelligence are computer algorithms that help computers perform tasks more efficiently or accurately than humans can do on our own. Deep learning is a broad area of computer science that studies machine learning, or the study of how computers can learn without being explicitly programmed. Machine learning and artificial intelligence can have different usages, but all refer to the study of computations that are performed without explicit human guidance or oversight.

 

Machine Learning

Machine learning is the process of training computers to perform complex tasks through trial and error. This field of computer science is popular in the sciences and the Internet, and it’s also the basis for a large number of commercial technologies such as artificial intelligence and machine vision. Machine learning can be used to create classes of actions or rules that will generate similar outcomes in similar applications. This is sometimes called “artificial intelligence”, and is distinct from “deep learning”, which is the study of how the brain processes complex information and makes judgment calls. Machine learning can be used to create machine-type behavior, or take an action that a computer program would otherwise never take. This skill can help improve an algorithm’s ability to perform other tasks by keeping it from making mistakes.

 

Artificial Intelligence

Artificial intelligence (AI) is a branch of computer science that deals with creating computers that can understand and navigate around the world around them. It is a field of study that is closely related to machine learning. AI’s goal is to give computers the ability to execute tasks that are better or more accurately done by humans. AI has been used to create intelligent electronic devices like digital assistants like Siri and Alexa, to create vision-based assistance, and to create robots that can navigate and make decisions on their own.

 

Deep Learning

Deep learning is a computer science field that studies the level of cognition achieved by computers by learning through experience. Deep learning is based on neural networks, which are graphs of “ neurons” connected by “axons”. Neurons in a neural network receive stimuli and generate an output that is influenced by other neurons. In a deep learning system, a computer “learns” by repeating this process, adding new neurons and receiving protein stimuli that the computer needs to grow and function properly.

 

Differences Between Machine Learning and Artificial Intelligence

Machine learning and artificial intelligence are both forms of computer programming that allow computers to demonstrate thinking, but the field of machine learning is more focused on the algorithmic side of things while artificial intelligence is data-driven, with increased focus on algorithms. Machine learning is often used to create classes of actions or rules that will generate similar outcomes in similar applications. This is sometimes called “artificial intelligence”, and is distinct from “deep learning”, which is the study of how the brain processes complex information and makes judgment calls. Machine learning can be used to create machine-type behavior, or take an action that a computer program would otherwise never take. This skill can help improve an algorithm’s ability to perform other tasks by keeping it from making mistakes.

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