Discover the most common advanced methods
of Machine Learning
SOLO® or PLS_Toolbox®
2 days
Researchers, scientists and engineers
Objectives
This training session in advanced methods of Machine Learning is intended for people wishing to:
- Discover advanced methods of Machine Learning
- Go further in data analysis
- Compare the different advanced data processing methods
During the training, the method principles are introduced by a geometric approach. Emphasis is placed on the practical use of the method and the interpretation of the results.
Application exercises are proposed for each method. The training will be held on software dedicated to Chemometrics and Machine Learning: SOLO® or PLS_Toolbox (EigenVector Research Inc).
Need a specific training?
Our team will study your request to offer you the most suitable and personalized training.
Program
- Reminder of linear methods
- Some methods for handling weak non-linearities
- Local regression (LWR – Locally Weighted Regression)
- Support Vector Machines (SVM)
- Artificial neural networks (ANNDL)
- Regression trees: Boosted Regression Trees (XGB)
- Visualization and compression with UMAP and t-SNE
- Application on data set and software
- Questions and Answers
- Evaluation quiz
- Satisfaction survey
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Our trainer team
They talk about us
«The folks at Ondalys are pretty chemometricaly on the ball»
Metrohm involved Ondalys in many of their advanced trainings on chemometrics. As everyone knows this is not a topic of high entertainment value but here Sylvie Roussel and her team made a big difference! The interactive exchange during the training, the stories told to draw the picture behind the data and the down to earth work sessions helped everyone to get a much better understanding of the topic. In particular we are very happy that our cooperation help a lot to achieve the goals of the trainings. All participants confirmed the positive impact and like to see more in future.Our expertise for the analysis of your data
With over 20 years of experience in data analysis applied to spectroscopic, analytical and sensory data, the experts in our teams support you at every stage of your projects.
