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.
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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Recommended Courses for Machine Learning Engineer
The Data Science Full-Time program is an intensive course designed to launch students' careers in data.
The part-time Machine Learning course was designed to provide you with the machine learning frameworks to make data-driven decisions.
The Python Programming certificate course provides individuals with fundamental Python programming skills to effectively work with data.
Taught by data professionals working in the industry, the part-time Data Science course is built on a project-based learning model, which allows students to use data analysis, modeling, Python programming, and more to solve real analytical problems.