Technologies / Artificial Intelligence

H2O AutoML - automatic machine learning

The training focuses on the practical use of the H2O AutoML platform to automate machine learning processes. During the intensive workshop, participants will learn about the possibilities of automatic creation and optimization of machine learning models. The program combines theory and practice, allowing you to independently carry out the process of building models from data preparation to implementation. The classes are conducted in a workshop format using real use cases.

Issues

Architecture and components of the H2O AutoML platform
Strategies for data preparation and processing
Automation of the machine learning process
Techniques for tuning hyperparameters
Validation and evaluation of models
Interpretation of results and metrics
Exporting and implementing models
Performance monitoring
Optimization of ML processes
Integration with existing systems
AutoML best practices
Use cases in real projects

Benefits

The participant will be able to independently prepare the H2O AutoML environment to work with their own datasets
Will gain the ability to effectively use automated machine learning processes in analytical projects
Will learn advanced techniques for optimizing and tuning machine learning models
Will learn how to interpret model results and metrics and make decisions about their implementation
Will master methods for monitoring and maintaining models in a production environment
Will know how to identify use cases where AutoML can provide the greatest benefit

Who is this training for?

Data analysts getting started with AutoML solutions

Programmers looking to expand competencies with machine learning

Data science professionals looking for ways to automate ML processes

Business intelligence experts interested in modern analytical tools

Solution architects working with machine learning systems

ML engineers seeking to optimize model development process

Data analysis specialists with basic ML knowledge

Prerequisites

Basic knowledge of machine learning concepts
Experience working with and analyzing data
Knowledge of basic programming
Ability to work with analytical libraries

Training program

Overview of AutoML functionality
Comparison with other AutoML solutions
Use cases and application scenarios
Environment and data preparation

Integration with popular analytical tools
Data preparation and cleaning techniques
Strategies for partitioning data into sets
Automation of the learning process

Selection of algorithms and learning strategies
Hyperparameter tuning
Monitoring the learning process

Interpretation of results and metrics
Model validation techniques
Exporting and implementing models
Monitoring performance in production

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 H2O AutoML - automatic machine learning we recommend: Basic knowledge of machine learning concepts; Experience working with and analyzing data; Knowledge of basic programming.

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 getting started with AutoML solutions; Programmers looking to expand competencies with machine learning; Data science professionals looking for ways to automate ML processes.