This project aims to leverage machine learning techniques for predicting software defects. Software defect prediction is a critical aspect of software development, as it helps identify potential ...

Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with ...

Software reliability is an indispensable part of software quality and is one among the most inevitable aspect for evaluating quality of software product. Software Industry endures various challenges ...

In this paper, we made a comparative analysis about the machine learning-based software defect prediction systems by comparing 10 learning algorithms like Decision Tree, Naive Bayes, K-Nearest ...

Correspond to software metric usage for measuring software quality, software metric can be used to identify the faulty modules in software. Furthermore, implementing machine learning technique will ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Loan Risk Prediction is one specific example — below, we will see how to get a basic Federated Learning application up and running. Doing so, we’ll be able to see the benefits of using PySyft ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Best CRM software of 2025; ... Machine learning predictions and system updates in real-time. Huyen's analysis refers to real-time machine learning models and systems on 2 levels.