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
|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|
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Yes, we will have a Q&A and we'll do our best to answer these at the end of the workshop.
Download the latest free, open source version of knime here: knime.com/download