Machine Learning | Cornell University CS4780/5780 Course
Cornell University
Dive into the fundamentals of machine learning with this comprehensive course from Cornell University. Explore supervised, unsupervised, and model selection techniques.
University CoursesData ScienceMachine Learning
Introduction
This course provides an introduction to machine learning, covering fundamental concepts, algorithms, and applications. Topics include supervised learning (linear regression, logistic regression, support vector machines, neural networks), unsupervised learning (clustering, dimensionality reduction), and model selection and evaluation.
Highlights
Covers a wide range of machine learning algorithms and techniques
Includes both theoretical foundations and practical implementation
Provides hands-on experience through programming assignments and projects
Taught by experienced faculty from Cornell University
Recommendation
This course is recommended for students interested in machine learning, data science, and intelligent systems. It is suitable for both undergraduate and graduate students with a background in computer science, mathematics, and statistics.
How GetVM Works
Learn by Doing from Your Browser Sidebar
Access from Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Select Your Playground
Choose your OS, IDE, or app from our playground library and launch it instantly.
Learn and Practice Side-by-Side
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.