Ementorhub

Skills you'll gain

Natural Language Processing

Computer Vision

Random Forest Algorithm

Artificial Neural Networks

Predictive Modeling

Performance Tuning

Image Analysis

Customer Demand Planning

Unsupervised Learning

Supply Chain

Supply Chain Management

Deep Learning

Forecasting

Supervised Learning

Machine Learning

Classification And Regression Tree (CART)

Applied Machine Learning

Anomaly Detection

Statistical Modeling

There are 4 modules in this course

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.

A Classical AI Approach

Images and Text

Final Project: Detecting Anomalies with Image Classification