What Makes Artificial Intelligence So Different From Machine Learning?
Artificial intelligence and machine learning forms a major component in the field of computer sciences. They are correlated to each other and functions for a similar objective. Many people use the term artificial intelligence and machine learning as synonymous, yet they differ from each other on certain major aspects. Artificial intelligence is an intelligent system which follows a holistic approach and is designed to solve complex problems, whereas machine learning is just a small part of AI which helps the machines to learn and deliver accurate results. In this article, we would come across the details regarding artificial intelligence and machine learning and would also explore the difference between the two.
What is Artificial intelligence?
Artificial intelligence can be defined as the intelligence possessed by a digital computer or a computer-controlled robot in order to perform the tasks effectively and efficiently and perform like the humans. Artificial intelligence is a technology which requires hardware and robust programming; the software and the hardware supported to AI should be robust and specialized in nature. Some of the programming language like Java, python, etc can be used for the programming purpose of an AI. An AI works on various systems and models. Basically, it follows a two consolidated step approach. The elucidation of the same is below.
Process of learning
This is the initial phase for an AI. In this stage an AI seeks to collect as much relevant data it can and then accordingly convert those instructions in the form so as to adapt and perform actionable movements. It follows specific algorithms and works in order to complete a specific task.
After getting the data fed into the AI, the AI uses algorithms in order to perform specific tasks. In this process, it uses the reasoning skills and aims at choosing the right algorithm in order to deliver the correct and desired output.
Advantages of using AI technology
AI technology when used efficiently offer a variety of advantages. Some of them are listed below:
AI is a system which is aimed at delivering consistent and accurate results.
AI aids in the faster and relevant decision making.
AI works constantly and it can work for 24*7 and can deliver results without having any kind of downtime.
AI aids in alleviating the work load and thus lessening the time required in order to solve complex problems.
AI is dynamic in nature and has the mass market potential owing to which it can be used and deployed across several industries.
What is machine learning?
Machine learning can be defined as a part of the artificial intelligence and computer sciences which is developed in order to develop the systems and the process through which the imitation of the intelligence of humans is done. The machine learning makes use of the several algorithms in order to achieve its objectives. It follows a two-step process; it is explained below:
Decision making process
Machine learning is used for the decision-making process. It is used to make predictions and forecasts related to a certain aspect. The prediction or the classification that are made are based on certain algorithms.
Machine learning uses an approach known as error function which basically acts as a traffic controller and checks the working of the algorithms. The accuracy of the predictions is checked by the use of error function and it is made sure that it makes efficient use of it.
Model optimization process
There is always a certain uncertainty in the predictions or the algorithms used. The model optimization process enables to find a better set of data points that are able to adapt perfectly to the estimated weights.
Advantages of machine learning
Machine learning being a subset of AI too carries variety of benefits. Some of them are listed below:
Machine learning can analyse a huge amount of data and identify the trends and patterns which is difficult for humans also to find out.
Machine learning is an automated task and it doesn’t require interference from the developers or humans.
Machine learning can handle a variety of tasks simultaneously and it has a wider application.
The algorithms used in the machine learning also work continuously to improve the prediction and the accuracy.
Artificial intelligence Vs Machine learning
The term artificial intelligence and machine learning are often used interchangeably. Indeed, machine learning is the part of the artificial intelligence, so basically the job and objectives of both of them are same; yet they differ in certain aspects. Now, we would come across the major difference between the artificial intelligence and the machine learning.
Artificial intelligence is destined to the goal of developing smart computers systems and imitate humans in terms of intelligence so as to solve complicated problems. Whereas, machine learning is just a subset of artificial intelligence and its objective is to permit the different machines to learn constantly so that they are able to deliver accurate and precise results.
In AI, new and innovative systems and technologies are developed in order to perform a complex function, whereas, in machine learning the machines are taught on the basis of the data received and thus yield accurate results.
The AI has a wider scope and lots of advantages, on the other hand, the scope of machine learning is limited to certain boundaries.
The AI systems work constantly in order to produce and develop such intelligent systems which are able to perform many complicated tasks assigned to it. Whereas, the machine learning is constantly working to create machines which are able to perform only the specified tasks for which they are designed.
AI can be implemented on various systems like expert system, Siri, and also used for customer support using the AI chatbots etc. On the other hand, machine learning are used for various functions like google search algorithms, online recommender system etc.
AI follows a holistic approach in dealing with different types of data; its deals with all the types like unstructured, structured and semi structure data. Whereas, the machine learning is limited in approach and it deals only with the semi structured and structured data.