data science

Tabular Data! Recent advances in AI—starting from systems able to holding coherent conversations to those generating realistic video sequences—are largely attributable to artificial neural networks (ANNs). These achievements have been made possible by algorithmic...

— We’ve Been Down This Road Many who've come before have bemoaned the analytics dashboard. Dashboards may contain a variety of information but not much in the way in which of insight. They could...

that the capabilities of LLMs have progressed dramatically in the previous couple of years, nevertheless it’s hard to quantify just how good they’ve develop into. That got me pondering back to a geometrical problem...

of AI hype, it looks like everyone seems to be using and enormous for each problem in Computer Vision. Many individuals see these tools as one-size-fits-all solutions and immediately use the...

, handling streaming data was considered an  approach. Because the introduction of relational database management systems within the Seventies and traditional data warehousing systems within the late Eighties, all data workloads began and ended with...

are large-scale AI models trained on an unlimited and diverse range of information, comparable to audio, text, images, or a mix of them. For this reason versatility, foundation models are revolutionizing Natural Language...

You’ve argued that a well-designed experiment can teach you greater than knowing the counterfactual. In practice, where experimentation remains to be underused, what’s your minimum viable experiment when data is scarce or stakeholders are...

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For instance, famous Hollywood composers corresponding to John Williams (, , ) and Hans Zimmer (, ,...