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
Andrew Ng, awesome teaching technique and well-designed course content make it easier for deep learning beginner to learn how to structure your machine project smoothly and do not lost in a process.
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.
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.
About the Deep Learning Specialization

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