I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Databricks has added a new agent, the Data Science Agent, to the Databricks Assistant, in an effort to help data practitioners automate analytics tasks. The agent, which is available now in preview ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

Governance company Diligent Corp. today announced the launch of ACL AI Studio, a transformative tool that modernizes and streamlines governance, risk and compliance analytics. Unveiled at the IIA ...

Introduction Malnutrition is a risk factor for child mortality, with around 45% of deaths in children under 5 globally linked to malnutrition. Seasonality of malnutrition has important implications ...

The issue of missing data is a common challenge in data analysis, and handling such missingness is crucial for the validity and reliability of statistical models. In this project, we focus on imputing ...

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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...