KNIME is hosting a one day Advanced Analytics Methods with KNIME course during the KNIME Spring Summit in Berlin, Germany on March 13, 2017.
In this course you will get an introduction to the most important methods, algorithms and ideas in the data scientist’s toolbox. You will learn to use advanced methods to uncover underlying patterns or concepts contained in large datasets, automatically group objects into meaningful clusters, classify objects into predefined categories, and refine your features to enrich predictive modeling endeavors. This course covers the main algorithms of supervised and unsupervised learning. The course will cover modern thinking on model evaluation, model selection, and novel ideas of model deployment.
Who should attend: Data Scientists, statisticians, business analysts, market researchers, and information technology professionals who need to get started with Advanced Analytics and want to make better use of their data. Managers and Executives who want to embed analytics into their operating model and maximize data-driven business results at scale.
Monday, March 13, 2017
Course M4: Advanced Analytics Methods with KNIME
- Key Concepts of Advanced Analytics
- Advanced Analytics Algorithms with KNIME Analytics Platform
- Data Preparation & Data Exploration for Advanced Analytics
- Supervised Learning
- Unsupervised Learning
- Model Assessment & Model Comparison
- Model Deployment
Course Registration & Other Courses
- See KNIME Spring Summit event page for details.