返回到 Introduction to Machine Learning: Supervised Learning
学生对 University of Colorado Boulder 提供的 Introduction to Machine Learning: Supervised Learning 的评价和反馈
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课程概述
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://hua.dididi.sbs/degrees/ms-artificial-intelligence-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
MS in Data Science: https://hua.dididi.sbs/degrees/master-of-science-data-science-boulder
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1 - Introduction to Machine Learning: Supervised Learning 的 1 个评论（共 1 个）
创建者 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.