Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

AUSTIN, Texas--(BUSINESS WIRE)--Today KNIME, the software company focused on making working with data intuitive, published new research findings in collaboration with Enterprise Strategy Group (ESG).

WEST LAFAYETTE, Ind. — Purdue University is offering a new series of Data Science in Finance courses focusing on applications of data science and machine learning to solve modern financial problems ...

Daniel D. Gutierrez, Editor-in-Chief & Resident Data Scientist, insideAI News, is a practicing data scientist who’s been working with data long before the field came in vogue. He is especially excited ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

More private-equity firms are recruiting data-science experts as they incorporate machine learning and data analytics into their investment processes and to support their portfolio companies. The ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...