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A machine learning engineer is expected to perform various experiments on machine learning using programming languages such as Python, Java, Scala, etc. https://imarticus.org/
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Start Your Career with Machine Learning Course https://imarticus.org/
Start Your Career with Machine Learning Course - Imarticuslearning.org • These days, a Machine Learning profession is quite in the trend. All thanks to the evolving application of Data Science & Technology. Many varieties of industries are shifting towards this technology – transportation, manufacturing, energy, finance, and machine learning are booming, with advanced algorithms from mobile apps to marketing campaigns being used everywhere.
1.What is Machine Learning? • Machine Learning typically refers to the system improvements that perform artificial intelligence (AI) related tasks. These tasks include recognition, evaluation, planning, robot power, prediction, etc. Machine learning has knocked up everything from shopping online to banking. It's the buzzword that powers the tech industry, and among the most searched online courses is the machine learning course.
If you are looking for an in-demand career, setting yourself up with the skills to work with smart machines and artificial intelligence would be a sensible move. Thus, taking a machine learning course and a business analyst course is a smart choice. • Here are some of the career options that you can pursue after taking a machine learning Course - • 1. Machine Learning Engineer • 2. NLP Scientist • 3. Data Scientist
1. Machine Learning Engineer • A machine learning engineer is expected to perform various experiments on machine learning using programming languages such as Python, Java, Scala, etc. Strong aptitude for probability and statistics, data modelling, machine learning algorithms, and system design is needed for the job.
2. NLP Scientist • NLP scientists work to build a computer that understands human speech patterns and converts the spoken words into other languages. Therefore, in addition to machine learning, they need fluency in syntax, spelling and grammar in at least one language, to equip a computer with the same ability.
3. Data Scientist • Data scientists use advanced statistical techniques such as machine learning and predictive modelling to collect, analyse and interpret vast volumes of data, and produce actionable insights. Machine learning is thus, in addition to other skills such as data mining and in-depth knowledge of statistical analysis methods, etc., an extremely critical and valuable skill for a data scientist.
How to start a career in Machine Learning? • Your aim should be to extend your machine-learning skill set as much as possible. Through numerous large open online courses in the area, some people have obtained jobs in machine learning. • You need to go a step further, to improve your prospects and opportunities. Pursuing additional courses in Data Science Specialization, Data Analysis, Python Programming, Big Data Hadoop or taking a Business Analyst course will help you improve and develop your machine learning skills and expertise.
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