Which is the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?

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Have you ever wondered what the difference between Artificial Intelligence, Machine Learning, and Deep Learning is? If so, then you’re not alone. While each of these three concepts individually can seem simple enough to understand, the differences between them are often hard to distinguish. The truth of the matter is that Artificial Intelligence, Machine Learning, and Deep Learning are all different subfields of the study known as Artificial Intelligence (AI). This article explains each subfield in detail, including how it fits into the bigger picture of AI as a whole.

What Is AI?

Artificial intelligence (AI) includes techniques for creating computers or computer programs that perform tasks normally requiring human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. It is related to the similar task of using computers to understand human behavior. Computers have been employed in a broad range of applications from entertainment to searching databases and doing mathematics.

What Is ML/DL?

ML/DL can be defined as Computer systems that learn on their own. Both ML and DL are similar in some ways but very different in others. While both learn on their own, machine learning (ML) learns faster than deep learning (DL). DL requires more time to train itself on larger data sets.

Key Differences Between AI, ML/DL

The main difference between these three related concepts is that AI focuses on building machines that act intelligently while ML/DL attempts to build machines that learn on their own. You can think of artificial intelligence as an automated system designed to handle specific tasks. ML/DL, on the other hand, allow computers to gather information over time in order to achieve a desired outcome. AI tends to rely on supervised learning in which humans tell AI what kind of output they want from it before it starts processing data. ML/DL uses unsupervised or self-supervised learning in which computers are left alone after being provided with data.

Conclusion

AI and machine learning are two different technologies that do two different things. AI technology helps computers recognize what it sees, learn from previous data or actions to predict outcomes better than before. Machine learning goes a step further by using AI to update its internal processes based on what it learns. Deep learning uses machine learning to go a step further by gathering information from an entire network of machines. This gives deep learning models a much higher success rate when trying to solve large problems over time. If you are looking to hire top AI development companies or machine learning experts, you can contact top- notch software development company Valuecoders.

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