This article discusses the use of advanced machine learning and deep learning techniques in diagnosing and predicting heart disease. By incorporating feature selection and…
Browsing: Dimensionality Reduction
This article discusses the use of edge computing as a solution for processing large amounts of data from IoT devices, specifically focusing on image…
Machine learning is an increasingly important tool in microbiology, used for tasks such as predicting antibiotic resistance and associating human microbiome features with complex…
This paper proposes a new machine learning-based paradigm to enhance the computational efficiency of non-equilibrium reacting flow simulations while ensuring compliance with the underlying…
Amazon India has launched the third edition of its Machine Learning (ML) Summer School, a programme designed to give engineering graduates comprehensive access to…
Data science is a rapidly growing field that offers exciting opportunities for individuals with a passion for data analysis, problem-solving, and making data-driven decisions.…
This article discusses the use of biomedical information retrieval techniques to develop early prognosis and diagnosis systems for breast cancer patients. These systems provide…
A recent study has found that general machine learning algorithms can outperform neural networks when trained on small datasets. This is in contrast to…