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Learner Reviews & Feedback for Introduction to Machine Learning: Supervised Learning by University of Colorado Boulder
21 ratings
About the Course
Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation in regression and classification, starting with linear and logistic regression and progressing to resampling, regularization, and tree-based ensemble methods. Along the way, you’ll learn how to evaluate models, manage bias–variance trade-offs, and balance interpretability with predictive power, all while working hands-on in Python. By the end of the course, you’ll have the skills and intuition needed to confidently apply supervised learning techniques to real-world problems.
This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS), Master of Science in Artificial Intelligence (MS-AI), and Master of Science in Data Science (MS-DS) degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder
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1 - 2 of 2 Reviews for Introduction to Machine Learning: Supervised Learning
By Michael M
•Mar 25, 2026
The concepts are challenging, but the reference materials, availability of transcripts, and more importantly the TAs are a huge help in making the content understandable and clear.
By Jordan K
•Apr 25, 2026
Many of the quiz questions were worded in a very confusing way. I understood the concepts well, but didn't quite understand what the question was asking. Also, it would have been very helpful if the instructor would have walked through some of the basic programming concepts for each module so that I could better understand how to implement the concepts prior to the programming assignments. But overall, the lectures were well done, and I learned a lot in this course.