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Specialization in Machine Learning Engineering Machine learning engineers

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發表於 2024-3-11 17:34:01 | 顯示全部樓層 |閱讀模式
Work in the field of machine learning and artificial intelligence is characterized by high salaries for its employees, and the salary increases with the increase in years of experience, and also varies according to the specialization, as it includes many diverse specializations. The salary of workers in this field ranges between 10 thousand and 27 thousand Saudi riyals per month, and this field contains many important specializations, including the following.

Data Science specialization A data science specialist or data scientist is Chinese Europe Phone Number List someone who specializes in processing and analyzing data completely and deeply using some tools and algorithms . This is to extract recurring patterns in that data or identify deviations in the time series monitored by that data, which helps in predicting expected future events, anticipating problems before they occur, or finding solutions to current problems. The data science student needs to learn some tools and sciences to master this field. The most important of these tools and sciences are the following: Advanced knowledge of statistics, linear algebra and mathematics. General knowledge of computer science.




Dealing with unstructured data. Dealing with cloud tools such as Hadpoot and Amazon S3. Knowledge of some programming languages ​​such as SQL, Python, Scala, and Perl. Dealing with some tools such as hive, spark, pig, and MapReduce. This field can be fully learned independently through online courses offered by educational platforms, and one of the most important of these platforms is the Udemy platform , which offers a comprehensive set for teaching the skills necessary for this specialization. Note: From an academic standpoint, data science is a field in its own right, but by convention it has been classified as a sub-discipline of artificial intelligence. 2. Salaries are among the highest among artificial intelligence sub-fields in the entire world, as a machine learning engineer needs to combine a multiple set of specializations or skills.


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