Qualification certificates required for algorithm engineers

1. Major requirements: Computer, electronics, communications, mathematics and other related majors;

2. Educational requirements: Bachelor's degree or above, most of them are master's degree or above ;

3. Language requirements: The requirement is to be proficient in English and basically be able to read foreign professional books and periodicals;

4. Must have computer-related knowledge and be proficient in using simulation tools such as MATLAB, and must be able to A programming language.

5. Algorithm engineers generally study data mining and machine learning, and they have relatively high professional requirements and certain limitations on their abilities. Algorithm engineer is a very high-end position; professional requirements: computer, electronics, communications, mathematics and other related majors; academic requirements: bachelor's degree or above, most are master's degree or above.

The most basic thing is that you need to learn computer programming languages, mathematics, English, etc. An algorithm is a set of instructions generated to solve a specific problem and obtain the desired result in a certain amount of time. Algorithm engineer is considered a high-end major, and its fields generally include graphics, audio, etc.

For example, license plate recognition is solved by graphics and image algorithms. Under normal circumstances, the algorithm is first abstracted into a mathematical function, and then the algorithm is implemented in a computer programming language. Secondly, the literature in many research directions is mostly written in English, and you must be able to understand the literature in English.

The following skills are required:

1. Proficient in C/C++ and python language programming, familiar with the Linux development environment, and have solid data structure and algorithm design skills;

< p>2. Familiar with common theories and algorithms in recommendation business, and have more than three years of practical work experience in multiple fields (such as ranking models, recall models, user portraits, deep learning, etc.);

3. Have excellent Logical thinking and data analysis skills, good at analyzing and solving problems; good communication skills and teamwork skills;

4. Have development experience in recommendation systems, advertising systems, search engines, etc.; proficient in machine learning, Applicants with basic theories and methods of deep learning and practical application experience in natural language processing tasks will be given priority;

5. Proficient in using one or several deep learning frameworks (such as tensorflow, caffe, mxnet, pytorch etc.), or those familiar with spark and hadoop distributed computing programming are preferred.

Hard skills:

1. Mathematics: including probability theory and mathematical statistics, matrix theory, and random processes.

2. Computer basics: including operating systems, composition principles, and data structures.

3. Algorithm capabilities: including comparing the advantages and disadvantages of mainstream models in the field, selecting appropriate solutions in set scenarios, etc.

If you want to know more about algorithm engineers, you can consult the CDA certification agency. CDA is the abbreviation of the profession of data analysis professionals for all industries on an international scale in the era of big data and artificial intelligence. CDA certificate holders around the world adhere to the new concepts of advanced business data analysis, follow the new norms of the "CDA Professional Ethics and Code of Conduct", give full play to their data professional capabilities, promote technological innovation and progress, and contribute to sustainable economic development.