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 stars82.85%
- 4 stars13.72%
- 3 stars2.81%
- 2 stars0.47%
- 1 star0.13%
TOP REVIEWS FROM STRUCTURING MACHINE LEARNING PROJECTS
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.
Excellent course to understand the various nuances of structuring these kinds of "projects". Though if the content were presented as parts of programming assignments could have been easier to grasp.
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.
Very helpful tips for navigating possible problems that would likely occur while building/training a model. The "pilot-training" exercieses, that mimick real-life problems / projects, are excellent !
About the Deep Learning Specialization

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