Fabrizio Musacchio<p>We just completed a new course on <a href="https://sigmoid.social/tags/DimensionalityReduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DimensionalityReduction</span></a> in <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuroscience</span></a>, and the full teaching material 🐍💻 is now freely available (CC BY 4.0 license):</p><p>🌍 <a href="https://www.fabriziomusacchio.com/blog/2024-10-24-dimensionality_reduction_in_neuroscience/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">fabriziomusacchio.com/blog/202</span><span class="invisible">4-10-24-dimensionality_reduction_in_neuroscience/</span></a></p><p>The course is designed to provide an introductory overview of the application of dimensionality reduction techniques for neuroscientists and data scientists alike, focusing on how to handle the increasingly high-dimensional datasets generated by modern neuroscience research.</p><p><a href="https://sigmoid.social/tags/PythonTutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PythonTutorial</span></a> <a href="https://sigmoid.social/tags/CompNeuro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CompNeuro</span></a></p>