Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute ...

Introduction to machine learning with Python : a guide for data scientists ... Data mining Publisher Sebastopol, CA : O'Reilly Media, Inc. Collection internetarchivebooks; printdisabled Contributor ...

As machine learning changes the face of processes in industry and society, data science is helping these new technologies constantly improve. This programme provides you with an opportunity to gain a ...

In this paper, the different machine learning and data mining approaches used for Residential Energy Smart Management (RESM) will be discussed and classified according to some meaningful criteria. The ...

A package that makes it trivial to create and evaluate machine learning pipeline architectures. ... python data-mining gpu gcc transaction cuda plot transactions gpu-acceleration apriori ...

It is therefore essential for organizations to articulate clear, comprehensive, and flexible data strategies and establish the right foundation for modern data management. This TDWI Best Practices ...

As the mining techniques have matured, new techniques were developed. A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques ...

Machine learning (ML) has been used to uncover the impacts of these mechanisms through feature engineering, but progress is limited by the data quality for training. Herein, we developed a universal ...