Artificial Intelligence and Machine Learning are two components of computer science. These two techniques are the most common techniques for building intelligent systems. Although two technologies are linked to each other and people sometimes use synonyms, they use two different words in different contexts.
In a broader sense, we can distinguish between artificial intelligence and machine learning in this way:
Artificial Intelligence is a fundamental concept in building intelligent devices that mimic the techniques and practices of human thought, while machine learning is an application or subset of artificial intelligence that allows devices to learn from data without explanation.
Artificial intelligence is the field of computer science that creates a computer system that can imitate human intelligence. It contains the words “fiction” and “intellectual”, that is, “the artificial power of thought”.
Therefore we can define it as:
Artificial intelligence is a technology that allows us to create intelligent systems that mimic human intelligence.
Artificial intelligence systems do not need pre-programmed, but use algorithms that work on their own intelligence. This includes machine learning algorithms, such as auxiliary learning algorithms, and in-depth neural networks. Is the AI used in many places like Siri and Google? plays AlphaGo and AI chess etc.
Based on capabilities, AI can be classified into three types:
- Weak AI
- General AI
- Strong AI
Currently we are talking about weak AI and AI. The future of AI is powerful AI, which is said to be smarter for people.
Machine Learning is a subfield of AI that allows devices to learn from data without prior experience or software developed.
Machine learning allows computer systems to use historical data to make predictions or make certain decisions without explicitly making these programs. Machine learning uses large amounts of data and semi-structured data to enable machine learners to provide accurate models or predict results using this data.
Machine learning means learning the history using data algorithms. This only applies to specific locations, for example, if we build a machine learning model to capture dog images, they only work with dog-like images, but if we’re building new ones, such as cat images. If you provide information, it will be injurious. Machine learning is ubiquitous in referral systems, Google search algorithms, spam filters, Facebook auto-tagging tips, and more.[
It can be divided into three types:
- Supervised learning
- Reinforcement learning
- Unsupervised learning
Differences between Artificial Intelligence (AI) and Machine learning (ML):
|Artificial Intelligence||Machine learning|
|Artificial intelligence is a technology which enables a machine to simulate human behavior.||Machine learning is a subset of which allows a machine to automatically learn from past data without programming explicitly and different from human behavior.|
|The goal of Artificial intelligence is to make a smart computer system like humans to solve complex problems.||The goal of Machine learning is to allow machines to learn from data so that they can give accurate output and to solve complex problems .|
|In Artificial Intelligence we make intelligent systems to perform any task like a human.||In Machine learning, we teach machines with data to perform a particular task and give an accurate result and no any task like a human.|
|Machine learning and deep learning are the two main subsets.||Deep learning is a main subset of machine learning.|
|Artificial Intelligence has a wide range of scope.||Machine learning has a limited scope.|
|AI is working to create an intelligent system which can perform various complex tasks.||Machine learning is working to create machines that can perform only those specific tasks for which they are trained.|
|Artificial Intelligence system is concerned about maximizing the chances of success.||Machine learning is mainly concerned about accuracy and patterns.|
|The main applications of Artificial Intelligence are Siri, customer support using catboats, Expert System, Online game playing, etc.||The main applications of machine learning are Online recommender system, Google search algorithms, etc.|
|On the basis of capabilities, Artificial Intelligence can be divided into three types.||Machine learning can also be divided into mainly three types that are Supervised.|
|It includes learning, reasoning, and self-correction when introduced with new data.||It includes only learning and self-correction when introduced with new data.|
|Artificial Intelligence can be completely all deals with Structured, semi-structured, and unstructured data.||Machine learning can be only deals with Structured and semi-structured data.|