Machine Learning Summer School 2026

A live webinar-based short course covering basic and advanced machine learning methods with applications in chemometrics and chemical data science. The course is delivered in three segments and emphasizes applying predictive AI methods to spectroscopic and sensor data for tasks such as calibration, regression and classification. Participants receive course materials, access to a recorded version of the course, and a certificate of completion.

Instruction, course materials provided in advance (PDF), access to the recorded version of the course, and a certificate of completion.

Aimed at engineers, chemists, spectroscopists and other scientists who wish to apply pattern recognition and machine learning methods; academic students and faculty are eligible for an academic rate with verification of university affiliation.

Create or log in to an Eigenvector account, select 'Machine Learning Summer School (online)' under the Purchase tab and pay via credit card or arrange invoicing/wire transfer.