Dear all,

We're excited to announce our 4th edition of the Introduction to
Machine Learning with R course, which will take place online from the
17th to the 21st of February, 2025.

Course website:
(https://www.physalia-courses.org/courses-workshops/course43/) Why
Join This Course?  Modern biology generates vast, complex datasets,
and machine learning (ML) has become an essential tool for their
analysis. This hands-on course introduces you to key ML methods and their
application to multi-omics datasets, offering both theoretical insights
and practical skills using R.  Who Should Attend?  This course is perfect
for researchers and students seeking an intuitive introduction to machine
learning. A foundational understanding of statistics and R is beneficial
but not mandatory.  Highlights Comprehensive coverage of supervised
and unsupervised learning methods.  Hands-on exercises with real-world
omics datasets.  Dedicated time for Q&A and personalized discussions.
Course Schedule Daily Sessions: 2-8 PM (Berlin Time) Day 1: Introduction
to ML and advanced R data libraries.  Day 2: Supervised learning and
model selection.  Day 3: Overfitting, resampling, and Lasso regression.
Day 4: Random Forest, boosting, and unsupervised learning.  Day 5:
Advanced demos and a final interactive exercise.  Teaching Format Each
session includes lectures, practical demonstrations, and interactive
discussions, ensuring a rich and engaging learning experience.

Best regards, Carlo

Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
info@physalia-courses.org
mobile: +49 17645230846

"info@physalia-courses.org" <info@physalia-courses.org>

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