Pattern recognition - advanced techniques
The training focuses on advanced pattern recognition techniques, combining theory with practical application in real projects. Participants will learn the latest algorithms and data analysis methods through hands-on workshops. The program covers both classical approaches and modern techniques based on machine learning. Classes are conducted in the form of interactive workshops using real use cases.
Issues
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Pattern recognition theory
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Feature extraction and selection
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Classification and clustering algorithms
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Neural networks in pattern recognition
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Support vector machines
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Team methods
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Dimensionality reduction
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Image and video processing
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Time sequence analysis
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Recommendation systems
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Validation and evaluation of models
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Optimization of hyperparameters
Benefits
- Upon completion of the training, the participant will be able to independently design and implement advanced pattern recognition systems
- The ability to select appropriate algorithms for specific classification and clustering problems
- He or she will be able to optimize model parameters to obtain the best results
- Will master techniques for processing and analyzing different types of data, from images to temporal sequences
- Will learn to effectively assess the quality of models and interpret their results
- Will gain practical experience in implementing pattern recognition systems in a production environment
- Will learn methods for scaling solutions for large data sets
- Will be able to use modern libraries and tools for pattern recognition
Who is this training for?
Prerequisites
- Basic knowledge of statistics and linear algebra
- Experience in Python programming
- Knowledge of the basics of machine learning
- Understand basic data processing concepts
Training program
Feature representation and extraction
- Classification and grouping methods
- Dimensionality reduction
- Quality assessment of models
- Advanced classification algorithms
- Neural networks in pattern recognition
Support vector machines (SVMs)
- Team methods
- Multi-label classification
- Practical applications
- Image and video recognition
- Time sequence analysis
- Natural language processing
Recommendation systems
- Optimization and implementation
Hyperparameter tuning
- Model validation techniques
Scaling up solutions
- Deployment in a production environment
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
Who is the Pattern recognition - advanced techniques training for?
This training is designed for professionals looking to develop skills in pattern recognition - advanced techniques. Required level: advanced.
How long is the Pattern recognition - advanced techniques training?
The training lasts 3. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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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We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.