Identify Problems with Artificial Intelligence - Case Study
Learn to use Un-supervised Machine Learning to identify Anomalies
1 October 2017
Skills
- kmeans
- industry 4.0
- process control
- ShinyApp
- Version Control
- Deep Learning
- H2O
- R
Results
- Created Udemy Course explaining method
- Exploring other methods of Anomaly Detection
- Feature Engineering in Time-Series Data
- Identify Anomaly on TIme-Series data with Deep Learning Autoencoder Models
Summary
By joining this course you can learn methods that will help you to exploit Unsupervised Machine Learning:
- Using kmeans and Problem Solving approach
- Using Deep Learning Modelling with H2O Machine Learning Platform with R
Feel free to check out the course here