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Technologies / Artificial Intelligence

Apache SystemML in machine learning

The training provides a comprehensive introduction to Apache SystemML, a tool for big data processing and machine learning. During the workshop, participants will learn the principles of the system, its integration with big data platforms, and the implementation of machine learning algorithms. The program focuses on practical applications, using real-world use cases and large data sets.

Issues

  • Apache SystemML architecture

  • DML language

  • Integration with Hadoop

  • Integration with Spark

  • Machine learning algorithms

  • Distributed processing

  • Performance optimization

  • Data management

  • Monitoring and debugging

  • Scaling up solutions

  • Data flows

  • Best implementation practices

Benefits

  • The participant will gain the ability to effectively use Apache SystemML in large-scale machine learning projects
  • To implement and optimize ML algorithms in a distributed environment
  • Will learn techniques for integrating SystemML with the Hadoop and Spark ecosystem
  • Will be able to manage the performance and scaling of ML solutions
  • Will gain a working knowledge of debugging and profiling applications in SystemML
  • Will learn to design and implement distributed ML solutions

Who is this training for?

Big data engineers working with large data sets
Data Scientists looking for scalable ML solutions
Distributed systems programmers
Architects of big data solutions
Data analytics specialists
ML application developers

Prerequisites

  • Basic knowledge of machine learning
  • Experience with big data systems
  • Knowledge of programming in R or Python
  • General knowledge of distributed systems

Training program

01

System architecture

  • Integration with the Hadoop ecosystem
  • DML (R-like) language
  • Performance optimization
  • Implementation of ML algorithms
02

Data preparation

  • Supervised learning algorithms
  • Unsupervised learning algorithms
03

Parallel processing

  • Advanced features
  • Performance optimization
  • Integration with Spark
  • Distributed processing
04

Debugging and profiling

  • Production implementation
  • Data flow management
  • Performance monitoring
  • Scaling up solutions
05

Best practices

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 Apache SystemML in machine learning training for?

This training is designed for professionals looking to develop skills in apache systemml in machine learning. Required level: intermediate.

How long is the Apache SystemML 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.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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