This course explores the foundational and applied aspects of machine learning techniques used to analyze image and time-series data, with a focus on healthcare applications. Learners will gain hands-on experience in designing models that detect brain tumors from MRI scans and predict clinical events such as sepsis onset using patient vital signs.
Computer Vision and Sequence Analysis in Machine Learning
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您将学到什么
Analyze the unique structure and dimensionality of image data compared to tabular data.
Build and optimize convolutional neural networks (CNNs) for medical image classification and segmentation.
Apply transfer learning to improve model performance on limited datasets.
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最近已更新！
January 2026
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有4个模块
The first module explores images and the vital role their data structure plays in computer vision.
涵盖的内容
3个视频1篇阅读材料1个作业
In the second module, we explore more building blocks of computer vision and begin working with real-life datasets.
涵盖的内容
6个视频1个作业2个编程作业
This module introduces learners to time series analysis using real-world datasets focused on human activity.
涵盖的内容
4个视频1个作业1个编程作业
This module introduces advanced techniques for identifying state transitions in time series data.
涵盖的内容
5个视频1个作业1个编程作业
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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