This research work has adopted J48 decision tree machine learning algorithm with application of SMOTE technique in solving the problem of imbalance dataset, thereby leading to an improved detection of ...

We also collected clinical and perioperative data. We trained and tested an ensemble of machine learning (ML) algorithms (neural network, regularized linear model, support vector machines, and a ...

There are various use cases where machine learning algorithms are being used in the finance sector. Here are a few fintech startups.

Machine learning has become an increasingly popular topic, both in the public consciousness and for businesses wanting to streamline their processes.

Explore the power of machine learning in finance, revolutionizing predictive analytics and risk assessment for informed financial decision-making.

This study examines the application of machine learning (ML) techniques, specifically decision trees (DTs), to predict the financial stability of institutions. Using the C5.0 algorithm, a DT was ...

What is a Decision Tree? A decision tree is a useful machine learning algorithm used for both regression and classification tasks. The name “decision tree” comes from the fact that the algorithm keeps ...

Compared to classical algorithms, quantum machine learning demonstrates significant advantages in feature extraction, model training, and predictive inference.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

WiMi's machine learning-based blockchain hybrid consensus algorithm not only represents a major innovation in blockchain technology, but also provides solid technical support for the future ...