Posts Tagged ‘cbb752’

ICA applications on deconvolutions

May 17, 2024

Here are some links for ICA deconvolution on omics data:

https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-019-0578-4 https://urszulaczerwinska.github.io/UCzPhDThesis/deconica.html https://academic.oup.com/nar/article/49/9/e54/6146629
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751789/
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008647

An Introduction to Statistical Learning

May 12, 2024

https://www.statlearning.com/

GPT-4 Technical Report

June 25, 2023

Just stumbled on this. Amazing how well GPT-4 seems to do on AP tests. One notable exception is AP English. I wonder why?
https://twitter.com/mattgroh/status/1635755153830584321
https://cdn.openai.com/papers/gpt-4.pdf
Test results that gpt4 can get; Doesn’t do well in ap English

Understanding by Implementing: Gaussian Naive Bayes | by Dr. Robert Kübler | Towards Data Science

April 17, 2023

https://towardsdatascience.com/learning-by-implementing-gaussian-naive-bayes-3f0e3d2c01b2#.ZBr8wZP-xfk.twitter

Make-A-Video

April 3, 2023

https://makeavideo.studio/

An Overview of State of the Art (SOTA) DNNs – Deci

April 3, 2023

https://deci.ai/blog/sota-dnns-overview

Fig: Exponential growth of number of parameters in deep learning models

Reconciling modern machine-learning practice and the classical bias–variance trade-off | PNAS

April 3, 2023

https://www.pnas.org/doi/10.1073/pnas.1903070116

Random Forests Algorithm explained with a real-life example and some Python code | by Carolina Bento | Towards Data Science

March 19, 2023

https://towardsdatascience.com/random-forests-algorithm-explained-with-a-real-life-example-and-some-python-code-affbfa5a942c

Principal component analysis | Nature Reviews Methods Primers

February 23, 2023

https://www.nature.com/articles/s43586-022-00184-w

UMAP | Caspershire Meta

February 19, 2023

https://meta.caspershire.net/umap/