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FutureStarrA Machine Learning Resume
What is a Machine Learning Resume? Essentially, a machine learning resume is a look at how one’s work would translate in the digital age. Whether they’re changing the world with their latest deep learning algorithms or helping achieve a deep understanding of Big Data, it’s a chance to highlight the accomplishments one can take to other companies for a job interview or new project. It’s also a chance to interpolate one’s career path through successive technologies.
Machine learning lies at the intersection of software engineering and data science. Machine learning engineers need a strong background in software engineering and computer science to write algorithms that can sort, search, and optimize data. Necessary data science skills include proficiency with programming languages like Python, Java, and SQL, as well as fluency in mathematics, probability, and statistics. You’ll also need to be able to conduct data analysis with big data frameworks like Spark and Hadoop. Finally, machine learning engineers need additional machine learning skills related to deep learning, natural language processing, algorithmic optimization, neural network architectures, and more.
Above all, hiring managers want to see that candidates are able to deploy ML models in production. While a bachelor’s degree won’t hurt your chances of getting hired as a machine learning engineer, the most important asset you can bring to the table as an applicant is a robust, proven technical skillset. In lieu of a degree program, you can acquire these skills through a machine learning bootcamp program with a strong focus on hands-on, project-based learning. If you’re able to validate those skills with an outstanding project portfolio and well-structured resume, you’ll be well on your way to landing your first machine learning role. (Source: www.springboard.com)
To apply for a job in Machine learning, you are required to learn some of the commonly used programming languages. It implements any language with the essential components and features, even though it is largely bound by concept and theory. Some programming languages are considered especially suited to complex machine learning projects. So, working knowledge of these programming languages adds value to your machine learning resume.
A degree, certificate or online diploma in these languages, ensures a good resume. As an engineer or student of science, you may already be skilled in C++, Java, and Python. You can also learn these languages online in your spare time, and practice on projects for special mentions on your CV. Programming languages like Python and R make it easy to work with data and models. Therefore, it is reasonable to expect a data scientist or machine learning engineer to attain a high level of programming proficiency and understand the basics of system design. (Source: www.mygreatlearning.com)