Best of KNIME: The COTM Collection - Season 3
Edited by Elisabeth Richter
In the second volume of the Best of KNIME we collected the top stories of our KNIME COTMs from August 2020 to July 2023. This booklet contains 12 stories that teach you more about data science and KNIME. The contributors have been selected and awarded every month for their excellent technical skills and for their contribution to the upskilling of the community in data science and KNIME.Download Book
Use Case Collections
Explore our favorite blog articles in these curated collections.
Marketing Analytics use cases to go from raw customer data to actionable insights.
Articles from our Contributors of the Month
Data blending for 50+ data sources and external tools.
Use cases for chem- and bio-informatics.
Quick way to learn KNIME Analytics Platform for users who already have experience with a similar platform or tool.
A guide to KNIME for SPSS Modeler users.
This guide maps the most commonly used SAS functions and techniques to their KNIME equivalents.
A guide to KNIME for Alteryx users.
This guide maps the most commonly used Excel functions and techniques to their KNIME equivalents.
*Available in English, German, Spanish, and Portuguese.
Books to guide you while learning KNIME Analytics Platform in a structured way, with exercises and practical use cases for every chapter.
An ideal starting point for those who want to begin working with KNIME. €19.95
*Available in English and Spanish
Learn advanced features, like looping, flow variables, working databases, accessing REST, and more. €19.95
Techniques to access, process, and analyze text documents using the KNIME Text Processing extension. €19.95
Collections and books showcasing a variety of technical topics.
A collection of challenges from “Just KNIME It” - Season 1, sorted by difficulty & theme.
Active Learning & Weak Supervision strategies to improve data labeling.
An overview of scoring metrics to evaluate models.
Books, created in an unconventional way and should be considered as an experiment.