In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.
This course is part of the Deep Learning Specialization
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About this Course
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Deep Learning
- Inductive Transfer
- Machine Learning
- Multi-Task Learning
- Decision-Making
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
ML Strategy
ML Strategy
Reviews
- 5 stars82.87%
- 4 stars13.70%
- 3 stars2.81%
- 2 stars0.47%
- 1 star0.13%
TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS
Course is great although only in one case we have pdf's with additional lecture notes. They are more useful than ppt slides therefore it would be desirable to have them in other parts of the course
Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
Useful to know what are the steps that should be taken after obtaining results. Tho there isn't much information regarding making machine learning projects here (ie. there isn't any hands on project)
About the Deep Learning Specialization

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