Difference between Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning are the branches of computer science that are connected with each other. You can address these two technologies as the most contributing technologies in the field of creating intelligent systems.
However, these are two correlated technologies and sometimes people use them as an alternative to each other, but still, both are two different terms in many scenarios. In this article, you will learn about some of the main differences between artificial intelligence and machine learning along with an overview of Artificial intelligence and machine learning.
Also read: Embedded Systems online course in India
What is Artificial Intelligence?
Artificial intelligence is a branch of computer science that’s focused on designing a computer system that can mimic human intelligence. It is composed of two words – “Artificial” and “Intelligence”, which means “a man-made thinking potential.” So, we can define Artificial intelligence as a technology via which humans can design intelligent systems capable of simulating human intelligence.
- The Artificial intelligence system works deficient of any pre-programmed language. Rather, it is based on algorithms that can work with their own intelligence.
- AI counts in machine learning algorithms like Reinforcement learning algorithms and deep learning neural networks.
Learn more: Online Machine Learning Training
- Presently, Artificial Intelligence is being used in stuff like Siri, Google’s AlphaGo, AI in Chess playing, and many more.
What is Machine Learning?
Machine learning (ML) is a branch of computer science that empowers a computer system to make guesses and take decisions based on historical data. Machine learning is a process that doesn’t require being explicitly programmed.
ML uses an abundance of structured and semi-structured data for generating accurate results or giving predictions based on that data. It works on algorithms that are gathered by historical data. ML is focused on a few distinct domains like building a machine learning model, detecting pictures/images, etc. And it will only give results for the same.
Presently, Machine learning is being used in different sectors like online recommender systems, Google search algorithms, Email spam filters, Facebook Auto friend tagging suggestions, and many more.
AI and ML course
Before eying onto the primary difference between AI and ML, let’s have a quick look at why one must consider AI and ML course. It is because acquiring a degree in AI/ML will open up the path to higher pay packages and demanding job roles in giant companies; globally.
Presently, it’s not a surprise that AI & ML degrees are gaining more popularity as compared to CS degrees in IITs. Well, with this let’s dive into the topic of AI vs ML. After learning the major differences, you can opt for any one of the courses easily.
Difference between AI and ML
| Artificial Intelligence | Machine Learning |
| Artificial Intelligence is a technology that allows/authorizes a machine to simulate human behavior. | Machine learning is a segment of AI which allows a machine to spontaneously learn from past data without programming explicitly. |
| The main aim of AI is towards designing a smart computer system like humans. The then-developed computers can solve complex problems. | The main aim of ML is to entitle machines to learn from data so that they can offer error-free output. |
| In AI, the primary task is to set intelligent systems that can perform any task akin to a human. | In ML, the primary task is to teach machines about data so that they can perform a particular task and give an accurate result. |
| Machine learning (ML) and deep learning are the two main subsets of AI. | Deep learning is a significant subset of AI. |
| The scope of AI is wide and dynamic. | Machine learning entertains a limited scope. |
| AI is working towards prompting intelligent systems that can perform various complex tasks. | Machine learning creates machines that can perform a handful of specific tasks. |
| AI systems are involved in enhancing the chances of success. | Machine learning is involved in maintaining accuracy and patterns. |
| The primary applications of AI are Siri, customer support using catboats, Expert System, Online game playing, intelligent humanoid robots, etc. | The primary applications of machine learning are the Online recommender system, Google search algorithms, Facebook auto friend tagging suggestions, etc. |
| Eying on proficiency, AI can be divided into three types – Weak AI, General AI, and Strong AI. | Machine learning can also be divided into 3 types – Supervised learning, Unsupervised Learning, and Reinforcement Learning. |
| Artificial Intelligence includes learning, analyzing, and self-adapting. | ML includes learning and self-correction only when it works with new data. |
| Artificial Intelligence battles with Structured, semi-organized, and unstructured information. | Machine learning contents with Structured and semi-structured data only. |
Conclusion
Now that you have reached this end of the article, you must be well aware of the terms – Artificial intelligence (AI) and machine learning (ML). These two terms have created a huge fizz in the technology world; thankfully positively. The above-mentioned differences must have helped you to have a closer look into AI and ML branches.
