Algebra in machine learning
Advanced training exploring the mathematical foundations of machine learning, with a focus on linear algebra and its applications. The program combines mathematical theory with the practical use of algebraic concepts in the implementation of ML algorithms. The classes are conducted in the form of interactive workshops, where abstract mathematical concepts are illustrated with concrete examples from the field of machine learning, and theory is immediately verified through implementations in Python.
Issues
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Vector spaces in ML
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Array operations
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Linear transformations
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Eigenvalues and vectors
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Matrix distribution
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Gradient optimization
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Metrics of space
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Algebra in neural networks
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Numerical calculations
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Kernel methods
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Dimensionality reduction
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Numerical stability
Benefits
- Upon completion of the training, the participant will have a deep understanding of the mathematical foundations of machine learning
- The ability to effectively use algebraic concepts in the design and optimization of ML algorithms
- Will develop the ability to analyze and solve mathematical problems that arise in machine learning projects
- Will learn to implement advanced linear algebra techniques in the context of ML
- Will be able to optimize matrix calculations in their solutions
- Will gain the ability to interpret mathematical results in the context of practical ML applications
Who is this training for?
Prerequisites
- Basic knowledge of higher mathematics
- Experience in Python programming
- Knowledge of the basics of machine learning
- Understanding of basic algebraic concepts
Training program
Vectors and vector spaces
- Matrices and matrix operations
Linear transformations
- Systems of linear equations in ML
- Advanced algebraic concepts
- Eigenvalues and vectors
- Matrix distribution (SVD, PCA)
Gradient optimization
- Standards and metrics in ML
- Applications in machine learning
- Algebra in linear regression
- Dimensionality reduction
Kernel methods
- Neural networks and algebra
- Implementation and optimization
- Efficient matrix calculations
Numerical libraries
- Performance optimization
- Solving numerical problems
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 Algebra in machine learning training for?
This training is designed for professionals looking to develop skills in algebra in machine learning. Required level: advanced.
How long is the Algebra in machine learning training?
The training lasts 2. 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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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.