Webinar: Guided Automation - A Blueprint for Interactive Automated Machine Learning

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 softer 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. The slides form our webinar are located here: https://bit.ly/2CTYSYa Blueprint Workflow on the Example Server: https://bit.ly/2DHbGTm Intelligently Automating Machine Learning, Artificial Intelligence, and Data Science vlog post: https://bit.ly/2MH1Svt Principle of Guided Analytics blog post: https://bit.ly/2EhPxbo How to Automate Machine Learning on InfoWorld : https://bit.ly/2B0nNsX Guided Automation for Machine Learning on InfoWorld : https://bit.ly/2DGlrBq