Video: Can changing how we fund drug research change our outcomes? Andrew Lo sees a rather important relationship between finance and healthcare - one that might also allow for more prolific and ...
Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...
In this special guest feature, Afrozy Ara, Head of Data Science practice at Incedo, suggests that given the difficulty in running a successful data science project, there are some specific reasons why ...
WEST LAFAYETTE, Ind. — Data scientists who can make sense of today’s epic floods of data to generate actionable insights and communicate them to a variety of audiences are in demand in almost any ...
Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...
Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...
Red Hat OpenShift Data Science, the managed cloud service for data scientists and developers of intelligent applications, is adding a slew of new updates and features to promote deeper data analysis ...
This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...
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 ...