Data Science & Developer Roadmaps with Chat & Free Learning Resources
Biologists, stop putting UMAP plots in your papers
The UMAP craze in singe cell RNA-Seq Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has becom...
Read more at Simply Statistics | Find similar documentsUMAP Dimensionality Reduction — An Incredibly Robust Machine Learning Algorithm
How does Uniform Manifold Approximation and Projection (UMAP) work, and how to use it in Python
Read more at Towards Data Science | Find similar documentsOn the Validating UMAP Embeddings
There is not a large body of practical work on validating Uniform Manifold Approximation and Projection (UMAP). In this blog post, I will show you a real example, in hopes to provide an additional…
Read more at Towards Data Science | Find similar documentsHow to Analyze 100-Dimensional Data with UMAP in Breathtakingly Beautiful Ways
Learn to reduce dimensionality and visualize 100-dimensional datasets with UMAP by creating point clouds and connectivity plots and really "see" your data.
Read more at Towards Data Science | Find similar documentsHow to Use UMAP For Much Faster And Effective Outlier Detection
Let’s catch those high-dimensional outliers Continue reading on Towards Data Science
Read more at Towards Data Science | Find similar documentsThe AiEdge+: T-SNE and UMAP - Dimensionality Reduction
If you want to impress your friends at Data Science dinner parties with beautiful plots, t-SNE and UMAP are the way to go! These are significant dimensionality reduction techniques widely used in data...
Read more at The AiEdge Newsletter | Find similar documentsNmap
Nmap (Network Mapper) is a free, open-source utility for analyzing network security. It is a popular tool for ethical hacking and is used for network discovery and security auditing. With Nmap, a cybe...
Read more at Codecademy | Find similar documentsThe New AI Gold Rush (Pan Provided!)
UMAP is short-changed as being characterized as a dimensionality reduction manifold learning technique. While being technically correct, it is better characterized as a transdimensional manifold…
Read more at Level Up Coding | Find similar documentsWhy you should not rely on t-SNE, UMAP or TriMAP
Dimensionality reduction techniques such as t-SNE¹, UMAP², and TriMap³ are ubiquitous within the field of data science, and given their impressive visual performance (combined with ease of use), they…...
Read more at Towards Data Science | Find similar documentsHow Exactly UMAP Works
This is the twelfth post in the column Mathematical Statistics and Machine Learning for Life Sciences where I try to cover analytical techniques common for Bioinformatics, Biomedicine, Genetics etc…
Read more at Towards Data Science | Find similar documentsHow to Program UMAP from Scratch
This is the thirteenth article of my column Mathematical Statistics and Machine Learning for Life Sciences where I try to explain some mysterious analytical techniques used in Bioinformatics…
Read more at Towards Data Science | Find similar documentsWhy UMAP is Superior over tSNE
This is the fourteenth post from the Mathematical Statistics and Machine Learning for Life Sciences column, where I try to explain in a simple way some mysterious analytical techniques used in…
Read more at Towards Data Science | Find similar documents- «
- ‹
- …