Is it useful to fully automate the data science cycle? In this webinar we describe a semi-automated approach to the creation and training of machine learning models by alternating interaction points and automatic data processing.
This interactive approach to automated machine learning at KNIME is obtained via Guided Automation, a special instance of Guided Analytics. With Guided Automation, we do not aim to replace the driver by totally automating the process, instead we offer assistance and allow feedback to be gathered throughout the modeling process - whenever it's needed.
A Guided Automation application is developed by data scientists for end-users. As easy as the final application might look, the system running in the background can be quite complex and therefore not easy to create completely from scratch.
To help you with this process, we're hosting a webinar where Paolo and Rosaria will play the part of the data scientist and end user respectively, showing you a blueprint of an interactive application for automatic training of machine learning classification models.
Join us on January 29 at 6:00 PM CET to find out more about automatically training machine learning models with KNIME.