eLife

Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
eLife

Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p

This fundamental study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It ...
Scientific Research Publishing

Russell, R. (2018) Machine Learning: Step-by-Step Guide to Implement Machine Learning Algorithms with Python.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
C&EN

Coal Air-Dry Basis Sulfur Content Detection Model Based on Hippopotamus Optimization Algorithm and Two Hidden Layer Extreme Learning Machine

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Coal is a solid combustible organic rock formed from the ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
financefeeds

cTrader Introduces Native Python Supporting More Algo Trading Participants

Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of cTrader Windows version 5.4, native Python, supporting algorithmic trading ...
Hosted on MSN

Adadelta Algorithm from Scratch in Python

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...
IEEE

Comparison of PCA and LDA Dimensionality Reduction Algorithms based on Wine Dataset

Abstract: In the construction of machine learning model, when the input data dimension is too large and the data characteristics are particularly complex, the complexity of the model will increase, ...