News

GitHub

RICHARDKHRISTI/python-fake_news_detection

Uses a dataset of news titles and labels (REAL or FAKE) Trains a Multinomial Naive Bayes model Predicts the authenticity of any news headline ...
Phys.org

From spin glasses to quantum codes: Researchers develop optimal error correction algorithm

Written for you by our author Tejasri Gururaj, edited by Gaby Clark, and fact-checked and reviewed by Robert Egan —this article is the result of careful human work. We rely on readers like you to keep ...
TechCrunch

Microsoft CEO says up to 30% of the company’s code was written by AI

During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written ...
Frontiers

Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics

Background: The styloid process (SP), a bony projection from the temporal bone which can become elongated, resulting in cervical pain, throat discomfort, and headaches. Associated with Eagle syndrome, ...
Scientific Research Publishing

Analysing Effectiveness of Sentiments in Social Media Data Using Machine Learning Techniques ()

1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department ...
IEEE

Comparison of Novel Random Forest Algorithm over Gaussian Naïve Bayes for Improving Accuracy in Software Bug Prediction System

Abstract: This research work focuses on analyzing the performance of a proposed random forest (RF) method with that of Gaussian Naive Bayes in predicting software problems. The database utilized in ...
GitHub

Update gaussian_naive_bayes.py

Gaussian Naive Bayes Example using sklearn function. Iris type dataset is used to demonstrate algorithm. Algorithm: 1. Load Dataset: Import the Iris dataset. 2. Data Preprocessing: Split dataset into ...
IEEE

Intrusion Detection System using Naive Bayes algorithm

Abstract: The growth of internet usage increased the need of security in network which is monitored by Intrusion Detection System (IDS). Using machine learning algorithms is common for implementing ...