Difference Between Artificial Intelligence, Machine Learning & Deep Learning

As of today, artificial intelligence (commonly referred to as AI) affects many aspects we experience. The way we work and the way we live are significantly changed with the involvement of artificial intelligence. Over the past decade or so, several Sci-Fi movies helped us gaining an idea about what artificial intelligence, machine learning, and deep learning can do together.

  • Artificial Intelligence

Artificial Intelligence is the concept of developing comprehensive computer systems that can demonstrate intelligence by themselves instead of depending on natural intelligence exists on humans or animals. Generally, such a system can make decisions, translate languages, recognize speech, identify visuals and perform various other tasks alone.

  • Machine Learning

Machine Learning is a term that describes the process of enabling computer systems to “learn.” Moreover, it is a subclass of artificial intelligence. As a result of the statistical techniques deployed in the process of machine learning, the respective computer system will be able to perform a certain task more effectivity utilizing the data. In other words, machine learning is the science of empowering a specific computer system to perform without being programmed explicitly. Speech recognition, dynamic web search, self-driving cars, etc. are some of the outcomes of machine learning we have witnessed over the past period.

  • Deep learning

Deep learning is a technique used in machine learning. In fact, it is the technique of enabling computer systems to learn by examples just as humans do. Deep learning is a core aspect that empowers the concept of driverless cars. A driverless car recognizes signs and pedestrians by example and acts accordingly with the assistance of deep learning. In addition to that, deep learning involves voice controlling that exists in commonly used devices such as smartphones, TVs, etc. As of today, deep learning shows rapid development, and as a result of that, we can achieve amazing results which were impossible before.

Key differences between artificial intelligence, machine learning, and deep learning

Now, let’s take a look at the key differences between these three aspects.

  • Artificial Intelligence

In simplest terms, artificial intelligence is the concept of exhibiting human intelligence through a computer system. With the assistance of AI, computer systems can perform specific tasks such as face recognition, image classification, and similar tasks better than humans.

  • Machine Learning

Machine learning is the process of enabling a respective computer system to achieve artificial intelligence. To make it happen, various algorithms will be used and the machine will start to recognize data with the assistance of these algorithms. Eventually, the machine will determine something about an aspect exists outside the computer system. In other words, machine learning is empowered with many algorithms and data and let the computer learn by itself.

  • Deep Learning

Deep learning is a special technique that is used to deploy machine learning. In fact, deep learning makes it possible to apply machine learning to computer systems and make the concept of Artificial Intelligence a practical one. We experience aspects ranging from better health care to driverless cars thanks to computer systems’ deep learning concept.

As we thoroughly believe, artificial intelligence is most likely to thrive significantly within the new future and lift human civilization to unimaginable heights.

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Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

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