Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often used interchangeably, but they are not the same thing. AI is the broadest concept of all, and it gives a machine the ability to imitate human behavior. ML is a subset of AI that allows software applications to predict outcomes accurately without the necessity of complex programming. DL is a subset of ML that uses complex algorithms and deep neural networks to repetitively train a specific model or pattern.
Artificial Intelligence (AI)
AI is the concept of creating smart intelligent machines. It covers everything related to making machines smarter. AI typically has three types: narrow or weak AI, general AI, and super AI. Narrow AI is designed to perform a specific task or set of tasks, such as playing chess or recognizing speech. General AI is designed to perform any intellectual task that a human can do. Super AI is hypothetical and refers to an AI that surpasses human intelligence.
Machine Learning (ML)
ML is a subset of AI that allows software applications to predict outcomes accurately without the necessity of complex programming. It is an application or subset of AI. ML focuses on the development of algorithms that can learn from and make predictions on data. ML algorithms usually require structured data, and they break a problem into smaller parts and solve each part separately. Once it solves all the parts, it generates the final result.
Deep Learning (DL)
DL is a subset of ML that uses complex algorithms and deep neural networks to repetitively train a specific model or pattern. It effectively teaches computers to do what humans naturally do. DL uses artificial neural networks (ANN), which are mainly involved with deep learning algorithms and mimic the functionality of the human brain. ANNs can be used on all types of ML algorithms based on their functionality. DL is mostly applied to larger datasets, and with more data and bigger models, the results get better and better.
AI is the broadest concept of all, and it gives a machine the ability to imitate human behavior. ML is a subset of AI that allows software applications to predict outcomes accurately without the necessity of complex programming. DL is a subset of ML that uses complex algorithms and deep neural networks to repetitively train a specific model or pattern.
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