Eigenvector is pleased to offer an instructor-led online course, Machine Learning for Calibration and Classification. The class covers modern non-linear modeling methods that are useful in the chemical and biological sciences. This includes:
• Locally Weighted Regression (LWR)
• Artificial Neural Networks (ANNs)
• Support Vector Machines (SVMs)
• Gradient Boosted Ensemble Methods (XGBoost)
• Hierarchical Models
Machine Learning for Calibration and Classification is designed for engineers and scientists needing to develop regression or classification models based on non-linear multivariate data. It includes hands-on exercises with our PLS_Toolbox and Solo data modeling software. Plus, tap into Eigenvector's 100+ person-years of experience in multivariate analysis in the after-class Q&A sessions.
DATE & TIME: The course will be live Wednesday and Thursday, May 13-14 from 7:00-10:30 PDT, 16:00-19:30 CET.
ADDITIONAL INFORMATION: Please visit the Machine Learning for Calibration and Classification page at https://eigenvector.com/events/machine-learning-for-calibration-and-classification/ , or email Eigenvector Research at [log in to unmask]
TO REGISTER: Create or login to your Eigenvector account and select Machine Learning under the "Purchase" tab. https://www.software.eigenvector.com/toolbox/download/
Barry M. Wise, Ph.D.
Eigenvector Research, Inc.
196 Hyacinth Road
Manson, WA 98831
Email: [log in to unmask]