Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Using a text classification model trained on historical data, enterprises can automatically categorize incoming emails, reducing manual effort and improving efficiency. Beyond categorization ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

Neural Network python from scratch ¦ MultiClass Classification with Softmax Posted: 7 May 2025 | Last updated: 7 May 2025 Welcome to Learn with Jay – your go-to channel for mastering new skills ...

Hands-on coding of a multiclass neural network from scratch, with softmax and one-hot encoding. #Softmax #MulticlassClassification #PythonAI The oil rustlers of West Texas: Thefts surge in the ...

In this study, a hybrid model named EffNet-SVM is proposed for the classification of DR and no DR cases using retinal fundus images. The model is trained and tested using the Asia Pacific ...

Abstract: Music vocal spectrum classification model based on improved SVM algorithm is studied. There are two main types of the current music classification and detection models in complex noise ...

In order for the Council to be able to work in all areas which require the use of EU classified information (EUCI), it needs to have a comprehensive security system to protect this information. The ...

An accuracy of 96.53% is acheived with SVM-RBF. Please read the uci-har.pdf for detailed results and comparison with literature. The jupyter notebook has some annotations and outputs while the python ...