Rzeszów

RISE, Plac Wolności 13, Rzeszów, Poland, 35-073

The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.

Głogów Małopolski

NobleProg , Strefowa 1, Głogów Małopolski, Poland, 36-060

The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.

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Category for Weka

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Data Mining with Weka

 14 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at beginner to intermediate-level data analysts and data scientists who wish to use Weka to perform data mining tasks. By the end of this training, participants will be able to:
  • Install and configure Weka.
  • Understand the Weka environment and workbench.
  • Perform data mining tasks using Weka.
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Dataiku for Enterprise AI and Machine Learning

 21 Hours
This instructor-led, live training in podkarpackie (online or onsite) is aimed at engineers, data scientists, and data analysts who wish to use Dataiku DSS for the development of machine learning pipelines, and leverage AI processes in generating strategic organizational initiatives. By the end of this training, participants will be able to:
  • Install and configure Dataiku DSS upon their preferred operating system.
  • Understand AI/ML concepts and principles that are fundamental to Dataiku features.
  • Create and implement their own data visualization codes in Dataiku DSS projects.
  • Deploy ML models and pipelines into production environments built around Dataiku DSS.
  • Optimize the agility and flexibility of data analysis methods of their enterprise applications.
  • Utilize Dataiku DSS to secure and manage how data flows through further business systems.
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