Many questions remain about UNC-Chapel Hill’s plan to merge the schools of Data Science and Society and Information and Library Science.

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 ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

One of the challenges confronting the data science industry is finding ways to make sophisticated analytics tools easier to use across cloud and data center platforms within multiple industries. The ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

What Do You Learn in Library Science? Studying Library and Information Science can include digital preservation and stewardship, electronic records management, educational literacy, research ...

As Yale embraces the future of data-based research, the Department of Statistics and Data Science is busy building up its program, with more students, more faculty, a new major, and an assortment of ...

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 ...