Technologies / Artificial Intelligence

Anomaly detection using Python and R

Advanced training in anomaly detection techniques using the Python and R languages. Participants will learn statistical and machine learning methods for identifying unusual patterns in data. The program combines statistical theory with practical implementations, enabling participants to create anomaly detection systems on their own in a business environment.

Issues

Statistical methods
Machine learning algorithms
Python and R integration
Data preprocessing
Validation of models
Visualization of anomalies
Monitoring systems
Fraud detection
Temporal analysis
Algorithm optimization

Benefits

The participant will learn to implement advanced anomaly detection systems
The participant will gain the ability to combine statistical techniques with machine learning
The participant will be able to select appropriate methods for different types of anomalies
The participant will learn practical applications of anomaly detection in business
The participant will develop skills in working with Python and R
The participant will know how to create monitoring and alerting systems

Who is this training for?

Data analysts working with anomaly detection

Data Scientists

Systems security specialists

Fraud detection analysts

Machine learning engineers

Researchers and scientists working with data

Prerequisites

Knowledge of basic statistics
Experience in Python programming
Basic knowledge of R
Knowledge of machine learning

Training program

Statistical methods

Validation of results
Machine learning techniques
Supervised learning in detection
Unsupervised learning

Deep learning approaches
Implementation in Python and R
Anomaly detection libraries

Algorithm optimization
Visualize the results
Practical applications
Monitoring of systems

Time series analysis
Alert systems

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Anomaly detection using Python and R we recommend: Knowledge of basic statistics; Experience in Python programming; Basic knowledge of R.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts working with anomaly detection; Data Scientists; Systems security specialists.