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How likely/how soon is it that the machine learning field will become accessible to self-taught individuals?

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Data Science and Machine Learning are one of the most sought after technology to learn these days. With the changing customers and rapidly evolving market, the companies are looking at the customer’s behaviour and are making a Data-driven decision, which makes Data Science a trending technology....
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Data Science and Machine Learning are one of the most sought after technology to learn these days. With the changing customers and rapidly evolving market, the companies are looking at the customer’s behaviour and are making a Data-driven decision, which makes Data Science a trending technology. Whether you are a fresh graduate or a working professional, if you have an interest in numbers, and are willing to learn new skills, this field is for you.

There are two ways to acquire knowledge in this area. 

  1. By getting a degree
  2. By being self-taught

 

Getting a degree:

Getting a formal education is always considered as a safe option. You’ll get a favourable environment for studying and have the opportunity to study with the like-minded people. You’ll also study in a more structured way and get a good exposure. Thus, formal education is a popular way of studying Machine Learning. Though Machine learning courses are not pocket friendly and you may also find it challenging to get a good institute which offers the course.

 

Being Self-taught:

This way of learning is trending nowadays. With the help of the internet and courses available online, a large number of people are opting for this route. If you are a working professional, this is the best-suited option for you. Online learning courses are pocket-friendly and flexible in terms of timing. However, you need to maintain self-discipline and manage time efficiently if you choose this option.

 

Overall, Machine learning is already becoming accessible to self-taught individuals. If you are willing to put the time and effort it, then you should go for it.

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