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.
Structuring Machine Learning Projects
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Structuring Machine Learning Projects
This course is part of Deep Learning Specialization
Instructors: Andrew Ng +2 more
Top Instructor
507,937 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(50,123 reviews)
Beginner level
Recommended experience
Flexible schedule
6 hours to complete
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Category: Debugging
- Category: Data-Driven Decision-Making
- Category: Artificial Neural Networks
- Category: Performance Tuning
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
2 assignments
Taught in English
Build your subject-matter expertise
This course is part of the Deep Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities.
What's included
13 videos3 readings1 assignment
Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.
What's included
11 videos2 readings1 assignment
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Instructor ratings
4.9 (2,888 ratings)Top Instructor
Andrew Ng
DeepLearning.AI
51 Courses9,330,863 learners
Offered by
DeepLearning.AI
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Learner reviews
4.8
50,123 reviews
- 5 stars
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- 4 stars
13.62%
- 3 stars
2.81%
- 2 stars
0.48%
- 1 star
0.15%
Showing 3 of 50123
YP
5
Reviewed on Jul 25, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!
EM
5
Reviewed on Jul 7, 2020
I think this is the best way of understanding the models we build and train. Now I can understand where are the errors are coming from and how to focus and choose an error rate problem to solve.
CC
5
Reviewed on Jun 15, 2020
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)
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.