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Everyone wants to have good career growth. While there are so many skills to adopt, technology has always remained a key area of focus for many. There are various aspects that one can opt for like you can choose to learn about machine learning. There are various institutes offering machine learning certification.
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What are the possible careers in machine learning? Session 1
What are the possible careers in machine learning? Everyone wants to have good career growth. While there are so many skills to adopt, technology has always remained a key area of focus for many. There are various aspects that one can opt for like you can choose to learn about machine learning. There are various institutes offering machine learning certification. But a common question that keeps many of us bothered is what is the career scope after completing this certification program. Well, this blog highlights the prospective career option for those who are completing machine cleaning training and certification programs.
Probable career opportunities for machine learning experts: Undoubtedly machine learning is one of the most popular career choices. In the year 2019, machine learning engineer was one of the most lucrative career opportunities. It marked 344% growth, and the machine learning engineer earns a basic salary of $146,085 per year. So, now let's focus on the prospective career option: 1.Machine learning engineer- They are responsible for running various machine learning experiments using various programming languages like Java, Python, C and more. Some of the skills that you need to acquire are statistics, data modelling, probability, programming, machine learning algorithms, and more. Machine learning engineers create algorithms for machines.
2.Data Scientist- The next important area where you can focus after completing machine learning certification is opting for a data scientists profile. They make use of technologies like predictive modelling, machine learning to collect data and provide the right result. These assessments are later used to make a business decision. 3.NLP Scientist- It is Natural Language Processing scientists. It enables machines to take actions in the same way as the human brain. In simple words, NLP scientists work to create a machine that can learn patterns of speech. An NLP scientist needs to be proficient in spelling, syntax and grammar so that they can create a machine that can well reckon the spoken words and interpret the same.
4. Business Intelligence Developer- They make use of ML and Data Analytics to collect and assess a large volume of data and produce the right insights, which can help companies make the right decision. 5.Human-Centered Machine Learning Designer- It links ML algorithms that are centred around humans. In simple words, Human-Centered Machine Learning developer creates machines based on processing and recognising the pattern of human behaviour and, based on it, presents the right product. If we have to explain this in simple words, then you would have noticed recommending movies while surfing on Netflix or listening to music on Spotify. You will get a result of popular choices that you would like to see or listen to. This is the most common example of the work profile of a Human-Centered Machine Learning Designer.
Conclusion- This brief discussion about the machine learning expert’s career profile would have given you an insight into your career growth. If you are willing to become a machine learning engineer, then machine learning certification by the Global Tech Council is the right mover.
