Machine learning opens the roadmap to a successful and lovable career
PERSPECTIVES IN THE FIELD OF MACHINE LEARNING
The prospects are very good and high. There are two perspectives in the field of data science described below:
a) One side includes data cleansing, delving into analytics, and understanding KPIs 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: IT REQUIRES A LOT OF EFFORT AND TIME
The career requires a lot of self-study. The aspects to consider as a beginner are the following:
a) The theoretical aspects associated with mathematics, statistics, computing, operations research, other Machine Learning theories are necessary to be properly understood in order to acquire a deep knowledge about them.
b) ‘Learning by doing’ is a famous saying that states that theoretical aspects can be understood effectively and deeply if these concepts are applied in a practical way. Programming in languages like R, Python, etc .; work with databases; dealing with big data, methodologies and techniques; Practically experiencing the data dispute and visualizing the findings in the form of reports, etc.
EXPERIENCE IS NECESSARY TO GET A REPUTED JOB
Getting the jobs in this field requires a lot of experience. Relevant work experience can be gained by working junior positions in companies by doing 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 people who aspire to self-learning skills.
The workplaces you are involved in are trying to find the projects that involve machine learning. It is not necessary to work on the projects associated with your job 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 have a good impression on your boss, which would further lead to promotions. It could lead to a change in your role in the organization. This would lead him to the roadmap of his career in this field.
In this way, you can gain work experience making you eligible for the renowned jobs of the leading fortune 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 earn and the skill sets you acquire year after year.
Always try to learn more and more. New things would allow you to explore the new areas of your workplace. Never stop learning.