Skip to content

Online course: Machine Learning for Computational Biology

1 message · Michael Zyphur

#
Hi everyone

Instats is pleased to be offering a new seminar on Machine Learning for
Computational Biology
<https://instats.org/seminar/machine-learning-for-computational-biolo2> on
September 16. This one-day workshop, led by Nikolay Oskolkov from Lund
University, provides a comprehensive introduction to machine learning
techniques in computational biology, focusing on both theoretical knowledge
and practical coding skills in R and Python. Participants will learn to
implement from scratch and optimize algorithms such as neural networks,
random forest, k-means clustering, and Markov Chain Monte Carlo (MCMC),
making it an essential resource for advancing research in biostatistics,
genetics, and data science.

Sign up today
<https://instats.org/seminar/machine-learning-for-computational-biolo2> to
reserve your spot in this workshop and don't forget about our upcoming
3-day workshop on the Analysis of DNA Methylation
<https://instats.org/seminar/analysis-of-dna-methylation2> running
September 18 - 20 with senior researcher Aline Muyle. We look forward to
seeing you there!

Best wishes

Michael Zyphur
Director
Institute for Statistical and Data Science
*instats.org* <http://instats.org>
<http://instats.org>