Does the name of machine learning attract you? Want to build your career in the field of ML? Is this profession right for you? All your queries have a solution in one place. Let us learn what it has in its treasure of Machine learning.
It sounds too good that the machine can learn independently from its experience, the same as the human mind. In today’s world, machine learning is one of the leading technology used in every platform, whether it be hospitals, banks, forests, etc.
Yes, machine learning is a good career path. It has a fast growth in careers, positions, and high-paying salary jobs. One can opt for roles such as Machine Learning Engineer, NLP Scientist, Data Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer. It has market demand for these positions, and supply is less; therefore, there is no doubt about hitting your career high.
A Career in machine learning – Things to know
Machine Learning is in high demand because it has made tasks easier and faster. One can opt for various career paths, as discussed earlier (multiple positions such as Machine Learning Engineer, NLP Scientist, Data Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer). Pursuing from Machine Learning course in Pune is the best option. They are making you ready for everything from basics and make you prepared to stand out of the crowd.
Career path:
- Machine Learning Engineer: Having an excellent hands-on knowledge of programming language as Python, R, and SQL is a plus point to enter this career, which will help you to get a master’s in this field. Perform various experiments using these languages. Their task is to make algorithms that allow the machine to make predictions. Data Scientist: They solve problem-based technically. They work on if and but jobs, i.e., make questions and find solutions for them. To opt for this profile, knowing Data visualization, programming language, Machine Learning, and Big Data (Hadoop, Apache Spark) will push your career fast.
- NLP Scientist: NLP Scientist has to make the machine understand the behavior of humans. Google Assistant, Alexa, and Duolingo are fast-growing NLP users. NLP scientist uses two techniques:
- Syntactic analysis: acts between the relationship of words and sentences.
- Semantic analysis: helps in making meaningful sentences based on predictive words.
- Business Intelligence Developer: Data analytics and machine learning are used by business intelligence developers to gather, examine, and interpret data. Relational and multidimensional databases, as well as programming languages like SQL, Python, Scala, Perl, etc., are needed for business intelligence developers.
- Human-Centered Machine Learning Designer: As the name suggests, Human-Centered Machine Learning Designer means machine learning algorithms. Knowledge of programming language is not required, but if you have one, it’s a positive aspect because gaining knowledge has no barrier.
Conclusion
In today’s world, machine learning is one of the leading technologies used in every platform, whether it be hospitals, banks, forests, etc. It has a fast growth in careers, positions, and high-paying salary jobs. One can opt for roles such as Machine Learning Engineer, NLP Scientist, Data Scientist, Business Intelligence Developer, or Human-Centered Machine Learning Designer. Knowledge of Data visualization, programming language, Machine Learning, and Big Data (Hadoop, Apache Spark) will push your career fast. Knowledge of programming language is optional, but if you have one, then gaining knowledge has no barrier. Google Assistant, Alexa, and Duolingo are fast-growing NLP users.
