What are the main differences between AI machine learning and deep learning? If you are wondering the same, then here we list all the differences between the two.
Two terms, artificial intelligence (AI) and machine learning (ML) are repeatedly discussed in the technology industry nowadays. Every creator, developer, and businessman is trying to get the best out of these technologies.
Although both the technologies have some common attributes but are completely different from each other. The close proximity of the two sometimes confuses people and they think that both are one thing with two terminologies. But the actual case is something entirely different.
If you are wondering what are the main differences between AI machine learning and deep learning, then we can answer that for you. In the coming sections of this guide, our main focus will be on the differences between the same. Using this article you can know the applications of artificial intelligence and machine learning and their differences.
Before we move on to the difference between artificial intelligence and machine learning. Let’s have a look at the definition of the concepts first and then proceed to the difference.
Artificial intelligence or AI is a newly developed and introduced technology. People in the technology industry are trying to use the same for better output from the apps, software, programs, and other tools and platforms. Under this technology, the focus is to integrate information and human intelligence.
This means that using this technology, one can create a machine that thinks and acts like human beings. Such machines can later be used for problem-solving assignments. Additionally, you can also use the same to copy the projected behavior of the humans.
Machine learning is a concept of technology that allows you to use various computer algorithms to solve problems related to the business. Under this technology, a predictive model is created to capture and process the algorithms used. This concept is quite different from the programming based on various rules.
The working of this technology is quite simple. Active data is collected from the past. Then the technology learns from past experiences and provides predictions for the future. You can consider this concept as an example of automation.
Now that the basic definition of both AI and ML is clear. Let’s have a look at the major points of difference between artificial intelligence and machine learning.
Check out the main points of difference between artificial intelligence and machine learning below and clear every doubt you have about the same.
| Sr. No. | Parameters | Artificial Intelligence | Machine Learning |
| 1 | Definition | Artificial Intelligence is the part of the technology that allows the machine to mimic the projected behavior of human beings. | Machine learning is the part of technology that allows the machine to learn from the past data and make predictions for the future. |
| 2 | Scope | The scope of artificial intelligence is wider than machine learning as it covers the latter as well. | The scope of machine learning is narrower than artificial intelligence as it is covered under the latter. |
| 3 | Part of Set | Artificial Intelligence is the superset or family set of the concept of machine learning. | Machine learning is the subset of the concept of artificial intelligence. |
| 4 | Objective | The main objective of the artificial intelligence concept is to create a smart computer that can work as a human. | The main objective of the machine learning concept is to learn from the data to provide the most expected and accurate predictions. |
| 5 | Type of System | Under the concept of artificial intelligence, a smart system like humans is created. | Under the concept of machine learning, a smart system like automation is created. |
| 6 | Part of Learning | Deep learning and machine learning are a part of artificial intelligence. | Machine learning is a part of deep learning. |
| 7 | Target Tasks | The technology of artificial intelligence is used to create a system that can deal with complicated and multiple tasks. | The technology of machine learning is used to create a system that can deal with specific and repetitive tasks. |
| 8 | Focus of the Technology | The main focus of artificial intelligence is to increase the chance of success. | The main focus of machine learning is to increase the accuracy of results. |
| 9 | Examples of the Technology | The examples of artificial intelligence are:
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The examples of machine learning are:
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| 10 | Types of Technology | The artificial intelligence can be divided into three parts viz.:
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Machine learning can be divided into three parts viz.:
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| 11 | Inclusions | The concept of artificial intelligence major includes three concepts:
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The concept of machine learning major includes two concepts:
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| 12 | Type of Data | Artificial intelligence works with three forms of data in common viz.:
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Machine learning works with three forms of data in common viz.:
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| 13 | Type of Working | Artificial intelligence deals with the decision-making process. | Machine learning deals with the learning process only. |
| 14 | Type of Solution | Artificial intelligence provides the type of solution to suit the best in the respective situation. | Machine learning provides the type of solution that may or may not suit the best in the respective situation. |
| 15 | Result | Artificial intelligence results in wisdom. | Machine learning results in knowledge. |
We hope that the above-listed sections helped you get the perfect answer to “What is the difference between artificial intelligence and machine learning?”. If you have any doubts, you can ask the same in the comments section provided below. If you think that the write-up is missing some point, please let us know via comments.
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