Kareema Nayla·Oct 8Ketika Algoritma Membaca Peta Pandemi: PCA, Hierarchical Clustering, dan K-Means pada COVID-19 di…Bagaimana tiga algoritma unsupervised learning membantu mengelompokkan wilayah Italia berdasarkan pola penyebaran SARS-CoV-2.
Abhisake Jain·Sep 17PCA Explained: The Math Behind Principal Component Analysis (With Python)How to shrink a messy, high-dimensional dataset down to its essence — and the vector algebra that makes it possible.A response icon2A response icon2
Aimyo·Aug 27Principle Component AnalysisA recap of Andrew Ng course (Machine Learning Specialization) on Coursera
Diane Khambu·Aug 21Numpy Implementation of PCA for Recognizing MNIST (handwritten digits) datasetIf you need some refresher in Principal Component Analysis (PCA), here is an article for that. This article will implement PCA using numpy…
Diane Khambu·Aug 17Learning Principal Component Analysis (PCA) on my Own TermsI was a bit surprised that I came across a note on my notebook that had these:
Mahsa Khodabandehlou·Aug 5I Tested 5 Dimensionality Reduction Methods. Both of My Hypotheses Were WrongWhat PCA, Kernel PCA, t-SNE, UMAP, and Autoencoders actually do when you stop trusting the theory and start measuring
Indraagustin·Jul 24PCA through the Lens: A Step-by-Step Guide to Reducing 5D Photography DataBy: Indra Agustin
InAxonect BlogbyRamesh Madhubhashitha·Jul 16Seeing Beyond 3D: How t-SNE Turns Complex Data into Strategic Business InsightIn today’s data-intensive economy, organisations routinely manage high-dimensional data. Datasets are characterized by hundreds or even…
Abu Huzaifah Bin Haji Bidin·Jun 28Understanding TRINITY from Sakana AIWhy Sakana Fugu can be that powerful
