Analytics Insight

Certified Data Science Professional (CDSP), United States Data Science Institute (USDSI)

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Interesting Engineering on MSN

3D magnetic field breakthrough for nuclear fusion plasma control wins coveted US award

Three researchers from the US Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) have been awarded the 2025 ...
SciELO

Machine learning classification based on k-Nearest Neighbors for PolSAR data

In this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one ...
GitHub

KNN vs SVM.R

unique(employees$EnvironmentSatisfaction) #shows there are NAs (missing values) unique(employees$JobSatisfaction) #Shows there are NAs (missing values) sum(is.na ...
Frontiers

Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model

Objective: To explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting ...
IEEE

Learning and Application of Different Machine Learning Methods (KNN, SVM, Decision Tree) in Different Datasets

Abstract: With the continuous development of artificial intelligence, machine learning has shown great ability in classification and regression problems. For example, logistic regression, SVM methods, ...