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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/