Artificial Intelligence vs Machine Learning Difference

Artificial Intelligence vs Machine Learning Difference

The terms artificial intelligence, machine learning, and deep learning are gaining popularity. The world has deteriorated to such an extent that no one has a viable option. The technology has progressed too far to contemplate, and artificial intelligence is at its heart. Artificial intelligence is the branch of computer science that uses technology to make machines that work and performs human-based tasks. They are mainly designed to mimic the human working as the machine performs the same task in less time and more efficiently. Artificial intelligence is a technology that replaces human labour by performing a task that requires the same thinking and actions done by humans.

On the other hand, machine learning is the branch of artificial intelligence in which we train the machine to perform such tasks and take such actions depending on the data we provide. The machine only acts as directed from the data provided in machine learning. Many of us get confused about the significant difference in both as they seem to be the same thing. Both are the technologies that perform human-based tasks, and both work almost the same way, which makes them different. So, artificial intelligence is the main branch, while machine learning is the sub-branch of artificial intelligence. Machine learning comes in the domain of artificial intelligence.

 What is Artificial Intelligence?

Artificial intelligence comprises “Artificial” and “Intelligence”, which means human-like intelligence. Although the human way of thinking is different, each individual thinks differently, but there are some conditions and situations where almost every human thinks the same and takes action. Making a machine that thinks like humans and performs actions based on scenarios just like humans is artificial intelligence.

Artificial intelligence doesn’t require data training or pre-programmed; instead, they work using their intelligence and involve machine learning concepts.

At this time, there are around three types of artificial intelligence, which are

  • Weak AI
  • General AI
  • Strong AI

And right now, we are using weak AI and general AI using machine learning and deep learning concepts. But shortly, we will be using strong AI that is robust and efficient enough to challenge human power.

The technologies based on the artificial intelligence concept are Siri, Alexa, google assistance, etc.

What is Machine learning?

Machine learning is the subset of artificial intelligence. In artificial intelligence, the machine performs tasks using their sense and intelligence, while in machine learning, a data set is provided to the machine to learn from, and the tasks performed by the machine are based on the data set provided. The machine revises the data set and, from that data set, devises a plan to act on just based on an event that happened before or the same event may be provided in the data set. So here, the machine’s intelligence doesn’t count more as the machines are trained first to perform such tasks, and in such a way, the machine may not perform perfectly.

Just like artificial intelligence, machine learning can be divided into three types.

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

The technologies based on machine learning are email spam filters, search algorithms, face detection, etc.

 Skillset required for artificial intelligence and machine learning

Artificial Intelligence

Machine Learning

Data science

Applied mathematics



Java programming

Data modelling and evaluation

Data mining


Program designing

Natural language processing

Future Scope

 Machine Learning is only relevant to areas where data already exists. After mining this data, we develop models based on trends and other statistical techniques. This model is used to anticipate future courses of action based on the assumption that future difficulties will be similar to those previously encountered or that a future problem will be similar to the confluence of numerous existing problems.

Consequently, machine learning comprises the majority of AI but cannot guarantee development in all circumstances. No one can claim that we have found and examined every imaginable technology and circumstance. The universe (space and time) is vast, and (perhaps) an unlimited number of scenarios are imaginable. Until we overcome this barrier of infinite, our AI will be restricted at all times.

Final thoughts

If you are planning to go into the artificial intelligence field, you are then having a deep sense of artificial intelligence and deep learning. Once you get clear about what they are and what domains they have, you will be able to choose among them. For now, artificial intelligence is making machines like robots that act mainly like humans and perform similar tasks, including decision making, which is a hard process though it requires great effort for humans too. Such kinds of tasks performed by machines are called artificial intelligence.

These include serving robots, industrial robots, checker and chess games, etc., while machine learning performs tasks that can be predicted by the data they provide. Machine learning allows machines to check records to act on new ones. At the same time, the goal of Artificial Intelligence is to give computers the smartness to work and act like humans.

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Written by:

Muzammil K

Muzammil K is the Marketing Manager at Aalpha Information Systems, where he leads marketing efforts to drive business growth. With a passion for marketing strategy and a commitment to results, he's dedicated to helping the company succeed in the ever-changing digital landscape.

Muzammil K is the Marketing Manager at Aalpha Information Systems, where he leads marketing efforts to drive business growth. With a passion for marketing strategy and a commitment to results, he's dedicated to helping the company succeed in the ever-changing digital landscape.