Machine Learning for Engineers: Algorithms and Applications
- Type
- Course
- Organization
- Coursera
- Location
- Online
- Deadline
- Rolling or not stated
- Salary
- Free to Audit
- Remote
- Yes
About this Opportunity
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods).
What you get
- Compensation: Free to Audit
How to apply
- Click the "Apply — via Coursera" button to go to the source page.
- Create an account or log in to the platform.
- Enroll in the course and complete payment (if applicable).
- Start learning at your own pace.
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