Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
An IT security researcher reveals how a wheelchair's QR code becomes a master key to all comfort functions.
This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
With the rapid development of industrialization, large amounts of toxic and harmful gases such as NO2, CO, and NH3 are emitted during industrial ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Explore the legal and technical hurdles in filing Updated Returns under Section 139(8A), including Excel utility dependencies and procedural ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The key distinction between IT and Computer Science is in their focus and responsibility: the former is application-oriented, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback