How to Become a Machine Learning Engineer
Why Is Python Used For Machine Learning?
Python is used for machine learning because it combines remarkable power with very clear syntax and it’s relatively easy to learn.
Python has risen in popularity amongst data professionals over the past several years and is now one of the most popular programming languages for data science and machine learning.
Popularity aside, Python’s accessibility makes it a great option if you’re interested in breaking into the data field but don’t have much experience with object-oriented programming. Like many languages, Python can be used in web development projects to create websites and apps and is particularly useful for back-end development.
A key benefit to using Python is that, again unlike other programming languages, it has a strong emphasis on readability. With that in mind, Python allows programmers to use English keywords for commands instead of punctuations. This makes it easier to write large chunks of code or build onto a current application without having to write more code. The readable features of Python make it easy to maintain and update.
Kick-Start Your Machine Learning Engineer Career
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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.