Behind the Scenes of Machine Learning

May 5, 2020 - Online

Do you know the difference between supervised and unsupervised learning? And do you know how a recommendation engine works? Do you know what the algorithm is behind the random forest? We’ll begin by exploring the differences between supervised and unsupervised algorithms and their use cases. Next, we’ll focus on classification problems, taking a look behind the decision tree algorithm, ensembles of it (e.g. random forest), and how to evaluate the models. The last part of the workshop covers a number of unsupervised algorithms with a focus on clustering algorithms and recommendation engines.

This workshop is run by Kathrin Melcher & Rosaria Silipo (KNIME).


We're keeping the KNIME Community connected throughout April and May by bringing you a series of online events. Find more here:

More online workshops

April 9 KNIME Text Mining with NER Modeling and Deep Learning
April 16 Sharing & Deploying Data Science with KNIME Server
April 21 Working with the RDKit in KNIME Analytics Platform
April 23 Time Series Analysis Workshop
April 28 Text Mining on Biomedical Literature - Today: Topic Modeling
April 30 Guided Labeling: Human-in-the-Loop Label Generation with Active Learning & Weak Supervision
May 7 Building a Drug Discovery Workflow in 8+1 steps with KNIME
May 12 Deep Learning for Image Analysis
May 14 KNIME Big Data Workshop
May 19 GDPR Compliance through Advanced Anonymization Techniques


How do I join the workshop?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?