Machine Learning Opens Up the Roadmap to a Successful and Adorable Career

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PROSPECTS IN THE FIELD OF MACHINE LEARNING

The prospects are extremely good and high. There are two perspectives in the field of data science which are described as follows:

a) The one side includes data cleaning, drilling deep into the analytics and understanding the key performance indicators along with visualization skills. This can be done through some basic statistics and regression models

b) The other perspective includes predictive models and optimization; the complex side of machine learning.

CAREER IN THE FIELD OF MACHINE LEARNING IS NOT AN EASY TASK: REQUIRES A LOT OF EFFORT AND TIME

The career requires a lot of self-learning. The aspects to be kept in mind as a beginner are as follows:

a) The theoretical aspects associated with mathematics, statistics, Computer Science, Operations Research, other Machine Learning theory are required to be understood properly so as to gain an in-depth knowledge about them.

b) ‘Learning by doing’ is a famous saying which states that the theoretical aspects can be understood effectively and deeply if these concepts are applied practically. Programming in languages such as R, Python, etc.; working with the databases; dealing with the big data, methodologies and techniques; practically experiencing data wrangling and visualizing the findings in the form of reports etc.

EXPERIENCE IS A MUST FOR GETTING A REPUTED JOB

Getting the jobs in this field requires a lot of experience. The relevant work experience can be gained by working in the junior positions in the companies doing a lot of analytic work. Experiencing analytics would let you move from data analyst to data scientist or machine learning.

Work experience hardly matters in the startups because they require the individuals who aspire for self-learning ability.

The workplaces in which you are engaged try to find the projects involving machine learning. It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but goes perfectly with your skill sets. It would let to have a good impression over your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the roadmap of your career in this field.

This way work experience can be gained by making you eligible for the reputed jobs of the top fortune companies in this field.

The job profiles associated with machine learning includes Software Engineer, Software Developer, and Data Scientist etc. The average salary package of a machine learning engineer amounts to $1,00,000 per annum. The pay package varies with the amount of work experience you gain and the skills sets you acquire year by year.

Always try to learn more and more. The new stuff would let you explore the new areas in your workplace. Never stop learning.



Source by Shalini Madhav

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