PERSPECTIVES IN THE FIELD OF MACHINE LEARNING
The outlook is extremely good and high. There are two perspectives in the field of data science that are described as follows:
(a) On the one hand, it is about cleaning up the data, deepening the analysis and understanding key performance indicators and visualization techniques. This can be done using basic statistics and regression models.
b) The other perspective includes predictive models and optimization; the complex side of machine learning.
A CAREER IN MACHINE LEARNING IS NOT AN EASY TASK: IT REQUIRES A LOT OF EFFORT AND TIME
The career requires a lot of self-learning. The aspects to keep in mind as a beginner are as follows:
(a) The theoretical aspects associated with mathematics, statistics, computer science, operational research, and other machine learning theories must be well understood in order to acquire a thorough knowledge of them.
(b) “Learning by doing” is a famous saying that theoretical aspects can be understood effectively and deeply if these concepts are applied in practice. Programming in languages such as R, Python, etc.; working with databases; managing large data, methodologies, and techniques; practical experience in data disputes and visualizing results in the form of reports, etc.
EXPERIENCE IS A MUST TO OBTAIN A DEEMED JOB
Getting a job in this field requires a lot of experience. Relevant work experience can be gained by working in junior positions in companies that do a lot of analytical work. The experience of analysis would allow you to move from being a data analyst to a data specialist or machine learning specialist.
Work experience is of little importance in start-up companies because it requires people who aspire to self-learning.
The workplaces in which you work try to find projects involving machine learning. It is not necessary to work on projects associated with your job profile; you can work overtime by working on some projects that are not related to your job profile but that perfectly matches your skills. This would give you a good impression of your boss, which would lead to promotions. This could lead to a change in your role within the organization. This will lead you to the roadmap of your career in this field.
In this way, work experience can be acquired by making you eligible for renowned jobs in the best fortune-based companies in this field.
Job profiles associated with machine learning include software engineers, software developers, data specialists, etc. The average salary of a machine learning engineer is $100,000 per year. Remuneration varies according to the work experience acquired and the skills acquired from year to year.
Always try to learn more and more. The new material would allow you to explore new areas in your workplace. Never stop learning.
Our tutorials, such as Neural Machine Translation and Prophet allow you to acquire the theoretical and practical knowledge associated with the different aspects of machine learning, as well as the detailed understanding of the Python programming language.