Gain practical experience in applying machine learning techniques to solve real-world engineering problems with this comprehensive course covering theory, applications, and hands-on projects.
Machine learning adapts using data to gain experience. It is a convergence of linear algebra, statistics, optimization, and computational methods for computer systems to infer relationships and make decisions from data. This engineering course reviews theory and applications of machine learning to engineering applications with a survey of unsupervised and supervised learning methods.
This course is recommended for engineers looking to gain practical experience in applying machine learning techniques to solve real-world engineering problems. The course provides a strong foundation in the theory and applications of machine learning, as well as hands-on experience with industry-standard tools and technologies.
Learn by Doing from Your Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Choose your OS, IDE, or app from our playground library and launch it instantly.
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.