While t-SNE is powerful for capturing non-linear relationships, in practical business settings, there is a strong demand for explainability (business justification) regarding "why it was reduced to ...
Abstract: This paper presents a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG). There has been a remarkable development of rPPG ...
Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...
Are you tired of linear algebra textbooks that drown you in abstract proofs while ignoring the tools that power today's AI revolution? I'm thrilled to introduce my new comprehensive textbook—"Linear ...
A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...
Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...
If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...
Since the first human genome was sequenced in 2000, omic profiling technologies have seen their costs reduced by multiple orders of magnitude, and omic profiling is now performed routinely. Petabytes ...
This repository contains the notebooks and scripts used to generate the hydraulic conductivity layer model from CPT data used to generate inputs for MODFLOW. The contents relate to Chapter 2 of Emily ...
Orange Data Mining is a Python based visual programming software that has been used widely in many scientific publications. Principal component analysis (PCA) is one of the most common exploratory ...
We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...
In the dynamic scene of Python development, understanding the qualification between frameworks and libraries is pivotal for extended success. Python frameworks give structure and support for building ...