Advanced AI Techniques for the Supply Chain
- Offered byCoursera
Advanced AI Techniques for the Supply Chain at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Advanced AI Techniques for the Supply Chain at Coursera Highlights
- Reset deadlines in accordance to your schedule.
- Earn a Certificate upon completion
- Start instantly and learn at your own schedule.
- Course 3 of 4 in the Machine Learning for Supply Chains Specialization.
Advanced AI Techniques for the Supply Chain at Coursera Course details
- 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.
Advanced AI Techniques for the Supply Chain at Coursera Curriculum
Machine Learning in the Supply Chain
Course Intro
Module Intro
Overview of AI methods
Introduction to Neural Networks
Supervised and Unsupervised Learning Techniques
Forbes: ML Revolutionizing the Supply Chain
Neural Networks Playground
Optional: Math Behind Neural Networks
Practice Quiz: Neural Networks
Neural Network Basics For the Supply Chain
Module Intro
Choosing an AI Model
Loss Functions
Model Selection
Stochastic Gradient Descent
Math Behind Bias-Variance Tradeoff
Configuring the Learning Rate
Coding Advanced AI Models
Images and Text
Module Intro
Autoencoders
Convolutional Neural Networks
Accenture: Natural Language Processing Techniques
Autoencoders (Optional)
Image Data Analysis Using Python
Convolutional Neural Networks (CNNs)
Convolution and Pooling Layers
Images and Text
Final Project: Detecting Anomalies with Image Classification
Advanced AI Techniques for the Supply Chain at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?
Data ScienceMachine LearningMachine Learning and Pattern RecognitionAdvanced AI Techniques for the Supply Chain