Guided Analytics Learnathon: Building Apps for Automated Machine Learning

Welcome to the series of Artificial Intelligence Learnathons!
The event is co-hosted with our friends at Truata (https://truata.com) and EPAM (https://epam.com). The learnathon will focus on automated machine learning and data visualization. As usual we work in groups. Each group builds a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. As the conclusion of the event, the application is deployed on a KNIME Server and run from a web browser.

The tool of choice for this Learnathon is the open source, intuitive, KNIME Analytics Platform, which also offers great integrations with R, Python, SQL, and Spark. Free trials for KNIME Server licenses will be distributed for the final deployment.

After an initial introduction to KNIME Analytics Platform, KNIME Server, and automated ML, we split in two groups, with each group building one of the following:

Group 1: the user interface for interactive visual data exploration and automated ML settings

Group 2: the final dashboard to visualize model accuracy and speed performance

We will provide a dataset, jump-start workflows, and final solutions for the proposed tasks, and of course data visualization and ML experts.

Please bring your own laptop with KNIME Analytics Platform pre-installed. To install KNIME Analytics Platform, go to this link (https://www.knime.com/downloads) and follow the instructions provided in these YouTube videos:

• Windows: https://youtu.be/yeHblDxakLk
• Mac: https://youtu.be/1jvRWryJ220
• Linux: https://youtu.be/wibggQYr4ZA

If you would like to get familiar with KNIME Analytics Platform and KNIME Server, you can explore the content of our E-learning course (https://www.knime.com/knime-introductory-course).

Before the event, we will share the link to download the workshop material (jump-start workflows and instructions).

Agenda
18:30 - Welcome by Truata and KNIME
19:00 - Introduction to KNIME Analytics Platform and KNIME Server
19:20 - Building Applications for Automated Machine Learning
19:40 - Let’s work & learn! Are you ready to learn?
21:30 - Wrap-up Session and Live Demo of Solution

This is a free event, open to everybody who is interested. Food and drinks will be provided.