Difference Between Machine Learning And Artificial Intelligence

Difference Between Machine Learning And Artificial Intelligence

In this blog, we are going to see the Difference between  Machine Learning and Artificial Intelligence , that will change our way of thinking towards Machines.

The concept of machine learning algorithms came into existence in the late 18th century and early 19th century. It is a branch of computer science which is closely related to Data Mining and artificial intelligence. It is an incredibly powerful numerical tool which enables the machine to solve algorithms through experience. These algorithms are not programmed before for such things.

Machine learning enables the system to recognize patterns on the basis of existing algorithms and data and intern develops solutions. Its primary aim is to learn by itself without human interference. The machine learning system is made up of 3 major parts .

1.  Model creation.
2. parameter detection.
3. Learning algorithm.

Machine learning algorithm considers assumptions about the targeted function and starts the estimation with a hypothesis. As time passes the hypothesis may differ from time to time for the better output, some iterations of the hypothesis are made by itself with human intervention.

  In the university of oxford researches and data, scientists are combining statistics and computer science to build algorithms that can solve more complex problems with higher efficiency by using less computing power.

From medical diagnosis to social media, from self-driving cars (Tesla) to the announcement of the presidential result the machine learning is widely used. The potential of machine learning In transforming the world is fabulous now days.

Machine Learning Flow Chart

 Supervised machine algorithm, unsupervised machine-learning algorithm, semi-supervised machine learning algorithm, reinforcement machine learning algorithm are some of the machine learning algorithms.

Machine learning is one of the modern innovation which helped human beings to enhance their skills in the day to day activities. It has created history in mankind by the invention of self-driving cars (TESLA) where the machine itself drive the car without the command of the humans. Drones are used for the quick service for delivery of commodities.

Typical calculations and algorithms can be solved. It helps in doing multiple tasks quickly and accurately where humans take significant time and lack accuracy. For example, advanced computing in genetics to determine molecular properties. It also helps in analyzing a large amount of data and solve the algorithms.

 Machine learning also helps in reaching the remote places under the oceans to get knowledge and extract poly-metallic materials which adds prosperity to mankind. It is also used in space technology.

In the medical sector machine learning is used in the critical surgeries which are related to brain eyes etc.. It also helps in the analyze of patients data and also to find suitable solutions.

It helps during the time of natural disasters and man-made disasters where the scope to reach humans is very difficult. It also reaches the expectations of mass production of goods to reach the needs of the burgeoning population.

         It can also be used in the Defence sector where the machine replaces the humans. This can reduce the loss of human life.

     Virtual personal assistants  (Siri, Alexa, google now, amazon echo, Google home) is made possible with machine learning. Traffic prediction, an online transportation network is also made possible.

      Though it has a number of positive sides it does have a negative face like loss of employment, use of machine learning during the war can destroy mankind because of its advanced weapon technology. These high-end technologies can only be affordable by the rich in the society.

Artificial intelligence :

artificial intelligence

   The term Artificial Intelligence is coined in 1956 by JOH MC CARTHY at Dartmouth conference Massachusetts institute of technology. Because of the tremendous increase in the availability of data artificial intelligence has gained importance in recent years. It comprises of two words 1st artificial refers to something which is made by humans not natural and 2nd is intelligence refers to the ability to understand and think.

 Machine learning and artificial intelligence are closely related. The difference level between those 2 is very thin. These days they are used interchangeably. One of the popular application of artificial intelligence is machine learning in which machine performs via cognition i.e., by reason.

Artificial intelligence is used in all most all the sectors like health, education, space, communication, weather forecasting, fraud detection, business, finance, manufacturing, gaming, political, etc.

Lets us now see the Difference Between Machine Learning And Artificial Intelligence :

Artificial intelligenceMAchine Learning
A.I is human Intelligence demonstrated by machines to perform simple to complex tasks. It provides machines to ability to learn and understand without being explicitly programmed.
It is based on characteristic of human Intelligence.It is based on System of Probability.
It is used in Health care, Finance, aviation, marketing, media, etc.It is used for optical character recognition,web security, etc.

          How machine learning is different from artificial intelligence.

1.     Artificial intelligence is the ability to acquire and apply knowledge of my machine whereas machine learning is learning through experience.

2.     The main aim of machine learning is to increase efficiency and accuracy in a specific field but artificial intelligence focuses on various diversities.

3.     Artificial intelligence is a broad concept while machine learning is a narrow concept.

4.     In the artificial intelligence the machine does smart work like humans .in the machine learning machine takes data and learns from it.

5.     The goal of the artificial intelligence is to provide the machines with reason so that they can think like humans whereas in the machine learning it has to learn by itself from the given data without the human support to maximize the performance of machine on the given task.

6.     In machine learning system learns new things from the provided date but artificial intelligence is decision-making unit.

7.     Artificial intelligence will help in finding the best solutions but the machine learning cannot be sure on its solution.

8.     Artificial intelligence leads to wisdom and machine learning leads to knowledge.


1. Is Machine Learning And Artificial Intelligence Same ?
Answer : A.I stands for Artificial Intelligence , where Intelligence is defined as the ability to acquire knowledge and ability to apply it practically where as ML Stands for Machine Learning and it is defined as the acquisition of knowledge or skills through experience,study or by being taught.

2. What is the Goal of A.I ?
Answer : The main goal of Artificial Intelligence is to create the Expert System : The system which can exhibit intelligent behavior, learn , demonstrate, explain to your audience in easy way language. to implement human intelligence in Machines – Creating system that could understand , think, learn , and behave like humans.

3. Is Siri an A.I ?
Answer : Basically Siri is a spin – off from a project which is developed by the SIRI International Artificial Intelligence Center. By Nuance Communications, Its speech Recognition engine was provided. Siri uses its advanced level of machine learning techniques.
In I phone 4S Siri was integrated in I phone in year October 2011.
IN SHORT – YES SIRI is an A.I Definitely.



This post is all about the difference between the artificial intelligence and machine learning where we humans can adapt the behavior of Robotics machines.    
Artificial Intelligence is considered as a great revolution in the cyber arena where it should be used for the good of mankind rather for the destruction.   

Artificial intelligence is the most broader arena of creating intelligent machines. machine learning is a subset of artificial learning. at the end of the day, both are very important for the efficient and accurate outcome in all the sectors.