Dear Colleagues:

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 , 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.

Best regards....


Barry M. Wise, Ph.D.
Eigenvector Research, Inc.
196 Hyacinth Road
Manson, WA  98831

Phone: (509)662-9213
Fax: (509)662-9214
Email: [log in to unmask]