Prediction of Relative Locations of CT Slices in CT Images
Author(s): Avishek Nag Originally published on Towards AI. Predicting the relative location of CT slices on the axial axis of the human body using regression techniques on very high-dimensional data Regression is one of the most fundamental techniques in Machine Learning. In …
From Many to Few: Tackling High-Dimensional Data with Dimensionality Reduction in Machine Learning
Author(s): Shivamshinde Originally published on Towards AI. Photo by Annie Spratt on Unsplash This article will discuss the curse of dimensionality in machine learning problems and dimensionality reduction as a solution for the issue. What is the Curse of Dimensionality? Sometimes a …
Principal Component Analysis (PCA) with Python Examples — Tutorial
Source: Derivative from original by Radek Grzybowski on Unsplash An in-depth tutorial on principal component analysis (PCA) with mathematics and Python coding examples Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. …
Machine Learning: Dimensionality Reduction via Principal Component Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. How does PCA work? In machine learning, a dataset containing features (predictors) and discrete class labels (for a classification problem such as logistic regression); or features and continuous outcomes (for a linear …
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