In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps. We’ll end with a project incorporating advanced techniques with an image classification problem to find faulty products coming out of a machine.
This course is part of the Machine Learning for Supply Chains Specialization
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About this Course
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 3 of 4 in the
Intermediate Level
It is reccomended that you finish the first two courses in the speciliation before trying this one.
Approx. 22 hours to complete
English
Skills you will gain
- Natural Language Processing
- Machine Learning
- Bias–Variance Tradeoff
- Supply Chain
- Image Analysis
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Course 3 of 4 in the
Intermediate Level
It is reccomended that you finish the first two courses in the speciliation before trying this one.
Approx. 22 hours to complete
English
Offered by
Syllabus - What you will learn from this course
2 hours to complete
Machine Learning in the Supply Chain
2 hours to complete
4 videos (Total 11 min), 4 readings, 2 quizzes
14 hours to complete
A Classical AI Approach
14 hours to complete
3 videos (Total 9 min), 4 readings, 2 quizzes
3 hours to complete
Images and Text
3 hours to complete
5 videos (Total 19 min), 5 readings, 1 quiz
4 hours to complete
Final Project: Detecting Anomalies with Image Classification
4 hours to complete
About the Machine Learning for Supply Chains Specialization

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