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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/deep-learning-healthcare
课程评论：没有评论
课程名称：深度学习与医疗健康 课程概述：本课程旨在帮助学员掌握机器学习在医疗健康领域的应用。参与者将学习机器学习、健康数据处理等知识，提升在大数据、深度学习、健康护理、图形分析和无监督学习等方面的技能。课程内容包括健康数据分析、不同类型的神经网络，以及在实际医疗场景中训练和应用神经网络的技巧。 应用学习项目：学员将在提供的训练数据上，通过自评分程序作业，应用理论概念，使用不同类型的神经网络算法。课程采用的技术包括Jupyter Notebooks和PyTorch。 证书：完成课程后，学员将获得可分享的证书。 课程形式：100%在线，可随时开始并按照个人时间表学习，设置灵活的截止日期。 难度水平：高级课程，建议学员具备Python编程经验及机器学习基础知识。 完成时间：预计3个月，建议学习节奏为每周5小时。 可用语言：英语，提供英语字幕。 课程链接： 1. [健康数据科学基础](https://www.coursera.org/learn/health-data-science-foundation) 2. [医疗健康深度学习方法](https://www.coursera.org/learn/deep-learning-methods-healthcare) 3. [医疗健康高级深度学习方法](https://www.coursera.org/learn/advanced-deep-learning-methods-healthcare) 总之，本课程适合对机器学习感兴趣的医疗专业人士，或对医疗应用怀有热情的机器学习从业者，帮助他们在快速发展的医疗科技领域中掌握现代计算方法。
Course Link: https://www.coursera.org/learn/health-data-science-foundation
Name:Health Data Science Foundation
Description:Offered by University of Illinois Urbana-Champaign. This course is intended for persons involved in machine learning who are interested in ... Enroll for free.
Course Link: https://www.coursera.org/learn/deep-learning-methods-healthcare
Name:Deep Learning Methods for Healthcare
Description:Offered by University of Illinois Urbana-Champaign. This course covers deep learning (DL) methods, healthcare data and applications using DL ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-deep-learning-methods-healthcare
Name:Advanced Deep Learning Methods for Healthcare
Description:Offered by University of Illinois Urbana-Champaign. This course covers deep learning (DL) methods, healthcare data and applications using DL ... Enroll for free.
What you will learn
Machine Learning, Health Data Processing
Skills you will gain
Big Data
Machine Learning
Deep Learning
Health Care
Graphs
Unsupervised Learning
Autoencoder
About this Specialization
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This specialization is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
Applied Learning Project
Learners will be able to apply the theoretical concepts in autograded programming assignments that use training data we provide for use with different types of neural networking algorithms. The technology used is (among others) Jupyter Notebooks / PyTorch.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Advanced Level
Advanced Level
Programming experience in Python recommended, as well as knowledge of fundamentals in Machine Learning
Hours to complete
Approximately 3 months to complete
Suggested pace of 5 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Advanced Level
Advanced Level
Programming experience in Python recommended, as well as knowledge of fundamentals in Machine Learning
Hours to complete
Approximately 3 months to complete
Suggested pace of 5 hours/week
Available languages
English
Subtitles: English
