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How to Become a Machine Learning Engineer

Does Machine Learning Require Coding?

Yes, if you’re looking to pursue a career in artificial intelligence and machine learning, a little coding is necessary. Machine learning is implemented through coding and programmers who understand how to implement that code will have a strong grasp on how the algorithms work and will be better able to monitor and optimize those algorithms.

Three programming languages come up most frequently: C++, Java, and Python, but it can get much more specific as well. Languages like R, Lisp, and Prolog become important languages to learn when specifically diving into machine learning.

Having said that, a previous understanding of other languages like HTML and JavaScript aren’t necessarily needed. Instead you can start with the more relevant languages like Python, which are considered relatively easy to learn because of features like their use of English words in place of punctuation.

Paradoxically, machine learning is interesting in that the main goal is to train a computer to learn on its own, without additional coding. Some key skills you’ll need is knowledge of probability and statistics, complex linear algebra, and calculus in order to understand the fundamentals of what’s propelling machine learning and easily work with data matrices and vector operations.

Some Machine Learning Engineers recommend that those interested in pursuing the career start with these key concepts as opposed to starting with coding. It’s critical that you understand the underlying concepts that allow artificial intelligence to function.

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