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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 …
A Probabilistic Algorithm to Reduce Dimensions: t — Distributed Stochastic Neighbor Embedding (t-SNE)
Author(s): Rajvi Shah Originally published on Towards AI. Top highlight Data Visualization One of the best techniques to reduce dimensions and visualize data based on probabilistic scores. Source: Medium Data Visualization plays a crucial role in real-time Machine Learning applications. Visualizing data …
From Chaos to Order: Harnessing Data Clustering for Enhanced Decision-Making
Author(s): Shivamshinde Originally published on Towards AI. This article will show the important use cases of data clustering methods, how to use these methods, and also show how one can use these methods as a dimensionality reduction technique. Photo by Luke Michael …
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 …
Feature Selection for Unsupervised Problems: The Case of Clustering
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by NASA on Unsplash With the massive growth of data over the last decade, selecting the right feature is becoming …
Dimensional Reduction — Feature Selection Part 1
Author(s): Himanshu Tripathi Originally published on Towards AI. Let’s learn about Dimensionality Reduction This member-only story is on us. Upgrade to access all of Medium. Photo by Edu Grande on Unsplash In the previous article, we learned about what is Dimensional Reduction …
Mathematics of Principal Component Analysis with R Code Implementation
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Data Science Image by Benjamin O. Tayo 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 …
Understanding Dimensionality Reduction
Author(s): Vikas K Solegaonkar (ThinkPro Systems) Originally published on Towards AI. Python Code Top highlight We all understand that more data means better AI. That sounds great! But, with the recent blast of information, we often end in a problem of too …
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