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What exactly is the difference between AI, machine learning and data science? How can you make a career in the same?

  • August 19, 2020
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The three terms data science Artificial intelligence and Machine learning are often interchangeable used. However these three terms have quite different meanings. Artificial intelligence is the umbrella term that encompasses both machine learning and Data Science in it.

Artificial Intelligence

Simply put Artificial intelligence is simulation of functions of a human brain by machines. Some of the most important functions that Artificial intelligence performs are logical reasoning, Self correction and learning new things.

It can be used in any field for example in playing games, Robotics etc. they are designed to resolve complex problems in a better and faster way than human being. One of the prominent application Artificial intelligence is the use in self driven vehicles, Google Maps, Smart robots and many more such devices which can act and think like humans.

Machine learning

In machine learning computers are made to learn and act like human beings. It is a field of artificial intelligence. The machines are made to learn stuff over time autonomously.

In simple words if coding is automation of process then machine learning is automating the automation process. There is no need for writing the code instead teach a computer to make sense of the generic data that is fed into the machine.

Data Science

Data science is a field which deals with data systems and processes. One of the primary function of data science is to Manage and make sense out of data.

Some sort of data operation is continuously being carried out in artificial intelligence. Hence it can be easily said that data science is a widely used data driven technique used in Artificial intelligence.

How to make a Career in these fields?

For making a career in Artificial intelligence minimum requirement is to have a bachelor’s degree in any of these fields

  1. Computer science,
  2. Information technology,
  3. Mathematics,
  4. Statistics ,
  5. Finance,
  6. Economics.

A candidate should also have proficiency in key problem solving skills, creative thinking, Communication, analytical skills. A master’s degree would get you a higher ranking job in the industry.

A good knowledge of key programming language is always preferred by companies in an aspiring candidate. Languages like Python, Java, C++, R, etc are the ones most widely used in Artificial Intelligence architecture.

If one is looking for a career in machine learning practical experience and a good course on machine learning in addition to the above mentioned bachelors degree.

In case of Data Science a bachelor’s degree on any of the above fields and a good working sense of how to manage and work with a large number of data sets and some raw data is all you need. It is true that a good course in Data Science can increase your chances of getting a job.

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