Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Scientific Research Publishing

Research on Credit Risk Rating of Commercial Banks Based on Support Vector Machine

In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...
GitHub

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Note: This repository is retired and will not be ported to use TF2. However, you may use this as a reference in doing so. This paper was presented at the 2nd International Conference on Machine ...
Frontiers

Supervised machine learning models for depression sentiment analysis

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Analytics India Magazine

One vs One, One vs Rest with SVM for multi-class classification

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...
GitHub

Operationalizing R models using Python via Azure ML SDK

Note: This work is still in the testing phase. This is a tutorial on how to use Azure Machine Learning SDK for Python (AML SDK) to operationalize (Figure 1) pre-trained R models at scale in the cloud ...
C&EN

Support Vector Machine Classification and Regression Prioritize Different Structural Features for Binary Compound Activity and Potency Value Prediction

In computational chemistry and chemoinformatics, the support vector machine (SVM) algorithm is among the most widely used machine learning methods for the identification of new active compounds. In ...