To become a good one in any field, we have to master the skills that are needed, right? So what skills are needed to be a good machine learning engineer?
- Programming languages.
- Computer and programming
This profession also requires basic programming and computer science that is qualified. These skills include mastery of data structures, algorithms, computing, and computer architecture.
- Statistic and probability
Furthermore, the skills or sciences needed to become a machine learning engineer are statistics and probability because those are so important.
- Standard algorithms
Implementation of standard algorithms can be accessed through libraries, packages, and APIs. The effective use of these will result in the selection of the right model and the preparation of procedures that fit the data.
- Software engineering and design system
To become a more reliable machine learning engineer, it is also important to understand software engineering and systems design. That understanding is important in order to be able to design software that is useful within the wider ecosystem of products and services.
To master the skills mentioned above, the appropriate majors are mathematics, computer science, data science, or statistics. It is also recommended to practice business understanding in order to be able to understand the company’s data needs while working.
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