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Advanced AI Techniques for the Supply Chain
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.
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Rating | Not enough ratings |
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Length | 4 weeks |
Effort | 3 weeks of study, 3-5 hours per week |
Starts | Jul 3 (46 weeks ago) |
Cost | $49 |
From | LearnQuest via Coursera |
Instructors | Rajvir Dua, Neelesh Tiruviluamala |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | 3 weeks of study, 3-5 hours per week |
Starts | Jul 3 (46 weeks ago) |
Cost | $49 |
From | LearnQuest via Coursera |
Instructors | Rajvir Dua, Neelesh Tiruviluamala |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Programming |
Tags | Data Science Data Analysis Machine Learning |
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