Course Outline
Introduction
Anomaly Detection
- Types of anomalies
- Causes of anomalies
- Zscore, Dbscan, and isolation forest
Anomaly Detection Algorithms
- Univariate space
- Low-dimensional space
- High-dimensional space
Preparing the Development Environment
- Installing and configuring SAS
Univariate Space
- Working with algorithms
- Masking and swamping effects
Low-Dimensional Space
- Working with algorithms
High-Dimensional Space
- Working with algorithms
Summary and Conclusion
Requirements
Testimonials (5)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.