Machine learning opens the roadmap to a successful and lovable career

PERSPECTIVES IN THE FIELD OF MACHINE LEARNING

The slopes are extremely good and high. There are two perspectives in the field of data science which are outlined below:

a) On the one hand, it includes data cleaning, deep analysis and understanding of 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.

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

The career requires a lot of self-study. Things to keep in mind as a beginner are as follows:

a) The theoretical aspects associated with mathematics, statistics, Computer Science, Operations Research, other Machine Learning theories, need to be properly understood to achieve a deep understanding of them.

b) ‘Learn by doing’ is a famous saying that claims that theoretical aspects can be effectively understood in depth and if these concepts are applied in practice. Programming in languages ​​like R, Python, etc.; work with databases; handling of big data, methodologies and techniques; practically experiencing data wrangling and visualizing the findings in the form of reports, etc.

EXPERIENCE IS ESSENTIAL TO GET A PRESTIGIOUS JOB

Getting the jobs in this field requires a lot of experience. Relevant work experience can be gained by working in junior positions at companies that do a lot of analytical work. Experiencing analytics would allow you to go from data analyst to data scientist or machine learning.

Work experience hardly matters in startups because they require individuals who aspire to self-study.

The workplaces you participate in try to find the projects that involve machine learning. It is not necessary to work on the projects associated with your work profile; You can work overtime working on some projects that are not related to your job profile but perfectly match your skills. It would allow you to make a good impression on your boss, which would lead to promotions. It could lead to a change in your role in the organization. This would lead you to your career roadmap in this field.

In this way, work experience can be gained making you eligible for the renowned jobs of the wealthiest companies in this field.

Job profiles associated with machine learning include software engineer, software developer, and data scientist, etc. The average salary package for a machine learning engineer amounts to $1,00,000 per year. The pay package varies based on the amount of work experience you gain and the skill sets you gain from year to year.

Always try to learn more and more. New things would allow you to explore new areas in your workplace. Never stop learning.