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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 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/

Best regards....

BMW

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

Phone: (509)662-9213
Fax: (509)662-9214
Email: [log in to unmask]
Web: eigenvector.com
Blog: eigenvector.com/blog/