Machine learning and high-dimensional methods online course

Machine learning and high-dimensional methods online course

Staburo Academy online course “Machine learning and high-dimensional methods”

Our course “Machine learning and high-dimensional methods” will be a 2-day course from 07 to 08 June 2021!

In the digital era where the collection of data is permanently increasing and phrases like “data mining” and “big data” are omnipresent, knowing how to turn the data into useful information is an essential skill. Therefore, basic knowledge of the most state-of-the-art machine learning techniques is an important instrument, not only for the ability to perform the appropriate statistical analyses in various settings, but also for a better understanding and interpreting of study results.

With this course you will get an insight into a variety of statistical methods for high-dimensional data ranging from parametric methods like PCA and LASSO to non-parametric machine learning methods like Random Forests, Boosting, SVMs and Neural Networks. In addition, these methods will be illustrated by real data applications in R.

The course will be held in English and the detailed agenda will be sent out a few days before the start of the course. You find more details and how to register here!

Data analysis, clinical biostatistics and more.

New Staburo office

New Staburo office

Staburo moves to new Munich office 

We took the opportunity to move to a bigger office space recently. The move was – due to home-office as current preferred way of working – logistically easier to perform than expected. We now rent a much bigger space than before and thanks to the top floor location, it has a very light and airy feel! We are very happy to stay in the same office building in Munich-Giesing, with its great cafeteria, summer terraces and super-friendly staff! We are sure that this will be very soon the perfect place to communicate, collaborate and grow together – for our current 45-people team, our clients and the excellent colleagues and clients that will join us in the future!

 

Data analysis, clinical biostatistics and more.