Machine Learning for Life Sciences

In this series of posts I explain complex computational methods from mathematical statistics and machine learning and provide concrete examples of their applications to biological and biomedical data analyses.

 

Category:

This is my column Mathematical Statistics and Machine Learning for Life Sciences at Medium, where I use plain language to discuss analytical methods from Computational Biology and Life Sciences: Linear Mixed Models, UMAP, single cell data analysis, multiOmics integration, tSNE hyperparameter tuning, cluster analysis etc. Please see more following this link: https://towardsdatascience.com/tagged/stats-ml-life-sciences

Weight 1 kg
Dimensions 24 × 36 × 2 cm

Reviews

There are no reviews yet.

Be the first to review “Machine Learning for Life Sciences”

Your email address will not be published. Required fields are marked *