Technologies / Artificial Intelligence

Advanced Machine Learning techniques in Python

Specialized training focusing on advanced machine learning techniques in the Python environment. Participants will learn the latest ML methods and algorithms and their practical applications to complex business problems. The program combines advanced theory with intensive hands-on workshops, enabling participants to develop specialized ML skills.

Issues

Distributed machine learning
Federation learning
Attention-based architectures
Graph models
Optimization of models
AutoML
Distributed training
Quantization
Time series
NLP and Computer Vision
Recommendation systems
Latest trends in ML

This training is part of the path:

Data Analyst Machine Learning Engineer

Benefits

The participant will be able to implement and apply advanced machine learning techniques to production projects
Will gain the ability to design and optimize complex ML architectures for specific applications
Will learn how to efficiently use computational resources in distributed model training
Will learn about the latest trends in ML and their practical applications
Will know how to select and adapt advanced ML techniques to specific business problems
Will develop skills in designing scalable ML systems

Who is this training for?

Experienced Data Scientists

Machine Learning Engineers

AI engineers

ML solution architects

Researchers using ML in projects

R&D specialists in the field of AI

Prerequisites

Practical experience in ML
Advanced knowledge of Python
Knowledge of ML/DL frameworks
A solid mathematical foundation

Training program

Federation learning

Semi-supervised learning
Specialized ML architectures
Attention-based models
Graph architectures

Recursive networks
Optimization and scaling
Model optimization techniques
Distributed training
Quantization of models

Industrial applications
Time series analysis
Natural language processing

Recommendation 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 Advanced Machine Learning techniques in Python we recommend: Practical experience in ML; Advanced knowledge of Python; Knowledge of ML/DL frameworks.

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: Experienced Data Scientists; Machine Learning Engineers; AI engineers.