RapidMiner Machine Learning Introduction
Course Summary
Altair has vision to make data analytics simple enough for all users, but scalable, governed, and safe enough for all enterprises. RapidMiner is the enterprise-ready data science platform that amplifies the collective impact of your people, expertise and data for breakthrough competitive advantage.
Here, we cover both theory and hands-on practice with the basic techniques for building correctly validated Machine Learning Models. We cover some of the most common model types and how to build RapidMiner processes to train and evaluate those models. The course can help you prepare for the Machine Learning Professional Exam. We do not cover the answers to all questions on the exam, instead we ask you to take ownership for learning, understanding, and practicing the topics that we outline.
Prerequisites:
Required – Install RapidMiner Studio and make sure you can open it. Recommended – Look at the Getting Started series on academy.rapidminer.com.
Here, we cover both theory and hands-on practice with the basic techniques for building correctly validated Machine Learning Models. We cover some of the most common model types and how to build RapidMiner processes to train and evaluate those models. The course can help you prepare for the Machine Learning Professional Exam. We do not cover the answers to all questions on the exam, instead we ask you to take ownership for learning, understanding, and practicing the topics that we outline.
Prerequisites:
Required – Install RapidMiner Studio and make sure you can open it. Recommended – Look at the Getting Started series on academy.rapidminer.com.
The training consists of four sessions. There is one session per day which lasts for 2 hours.
Session 1 | Session 2 | Session 3 | Session 4 |
---|---|---|---|
Introduction
|
Introduction to Machine Learning
|
Supervised Learning
|
Feature Engineering
|
Upcoming events
Product Suite | Language | Region | new_Suite | Event status | Seats available | Sign-up period | Session times | Rooms | Facilitators | Session status | Actions |
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Data Analytics | English | Europe/Africa, Asia Pacific |
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Past events
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