Advanced machine learning in R
The training is devoted to advanced machine learning techniques implemented in the R environment. The program covers deep learning, advanced ensemble methods and model optimization techniques. Participants learn to design and implement complex machine learning solutions through hands-on workshops. Classes are conducted in the form of intensive workshops using real use cases and the latest tools.
Issues
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Deep neural networks
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Transfer learning
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Ensemble methods
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Optimization of hyperparameters
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Teaching representation
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Autocoders
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Generative models
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Interpretation of models
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ML systems architecture
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Implementing models
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Performance monitoring
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Scalability of solutions
Benefits
- The participant will gain advanced knowledge in the implementation of complex machine learning models in R
- Will develop skills to design and optimize deep learning systems
- Will acquire the competence to create and implement advanced ML solutions in a production environment
- Will learn methods to effectively combine various machine learning techniques
- Will be able to evaluate and interpret the results of complex ML models
- Will develop the ability to design scalable machine learning systems
Who is this training for?
Prerequisites
- Practical knowledge of machine learning
- Advanced knowledge of programming in R
- Experience in the implementation of ML models
- Knowledge of mathematics and statistics
Training program
Deep neural networks
- Recurrent neural networks
- Convolutional networks
Transfer learning
- Ensemble and boosting methods
- Advanced boosting techniques
- Stacking and blending
- Calibration of models
- Optimization of hyperparameters
- Teaching representation
- Dimensionality reduction
Autocoders
- Teaching through reinforcement
- Generative adversarial models
- Implementation and monitoring
- ML systems architecture
- Monitoring of models
- Interpretation of results
Update models
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 Advanced machine learning in R we recommend: Practical knowledge of machine learning; Advanced knowledge of programming in R; Experience in the implementation of ML models.
What is the format and duration of this training?
The training lasts 3 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: Machine learning specialists; Data Scientists; AI researchers.
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Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.