Artificial Intelligence Vs Machine Learning Vs Deep Learning

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) – these are the three trending buzzwords that have created a great hype over the Internet and other media platforms for some time now. Irrespective of whether people hold a sound knowledge of the data science or not, everyone is actively making their own statements explaining the differences between these technologies, which thereby creating a mysterious situation for the newbies and laymen to understand the true differences between them. To make the things easy, this article will initially explain “what AI, ML, and DL are?”, and later discusses the key differences between them.

What is Artificial Intelligence (AI)?

The definition of AI as per Wikipedia is – “the intelligence demonstrated by the

machines, rather than humans or other animals”.

In simple words, Artificial Intelligence (AI) can be referred as the ‘skill for a machine to exhibit its intelligent behavior’.

 What is Machine Learning (ML)?

Machine Learning as found in the Wikipedia is “the sub-field of computer science that gives computers the skill to learn without being explicitly programmed”.

Machine learning in simple words can be stated as ‘the ability of a machine to learn and achieve intelligence’.

 What is Deep Learning (DL)?

According to Wikipedia, “Deep Learning is a subset of Machine Learning,

which examines the computer algorithms that learn and improve on their own”.

Deep learning is one of the best machine learning techniques that resembles how the human brain works (neural networks).

Artificial Intelligence vs Machine Learning vs Deep Learning

In this rapidly growing IT environment, it has become compulsory for the professionals to be able to differentiate between AI, ML, and DL. However, the simplest way of doing so is to visualize them in a collected model as shown below.

Artificial Intelligence – the umbrella term for Advanced Computer Technologies

Artificial Intelligence (AI) delivers the machine with the ability to imitate the human’s intelligence behavior, such as playing chess, making the medical diagnosis, and carrying the conversations. Over the recent past, AI has exploded at an unprecedented rate, and has resulted in various machines and processes that are able to perform tasks without any human intervention. Of which, machine learning and deep learning are the two widely known forms under the umbrella of artificial intelligence.

Machine Learning – the subset of Artificial Intelligence

Machine Learning (ML) is the concept that integrates artificial intelligence at a higher level, and deals with the extraction of patterns from the data sets. ML is a transparent term, which include machines using the algorithms to evaluate the data and learn from it. The algorithms enable the softwares to draw insights and make predictions, and later perform the relevant tasks. The ML approach helps in the fraud detection, thereby enables to detect and react to the risky patterns, trends, and behaviors with the intelligent automation of the fraud case reviews.

Deep Learning – the best method for Machine Learning

Deep Learning (DL) is the most advanced cognitive class of the machine learning and artificial intelligence that takes ML to the next levels, and mimics how our neural networks function. Artificial Neural Networks (ANN) is the base for the deep learning, which is designed to process the data similar to the way the human brain works. The future of artificial intelligence mainly relies on the deep learning, as it is already making the most of the ML applications practically possible. One best example that can be stated is the ‘image recognition via deep learning’, which has found to be more accurate than when it is performed by the humans.

Wrapping up

Many people without proper knowledge on the data science will sometimes argue that AI, ML, and DL are radically different from one another. So, whenever you come across such arguments explain them that deep learning is a subset of machine learning, which is a subset of the artificial intelligence, making AI as the umbrella term for both ML and DL.

We have already stepped into the digital era, where technology is gradually adapting the needs of the humans. Even though some concerns are raised by the experts, research is going on relating to the safety of AI. From movie recommendations to the driverless cars, artificial intelligence holds the key for endless opportunities. As you’ve aware of the reality that AI is going to be the future, make the best use of your valuable time by getting trained on such emerging technologies from the global industry leaders – Kovid Academy.

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