This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

CNBC will integrate Kalshi’s real-time prediction data across its TV, digital and subscription platforms starting in 2026, ...

We are seeking a hands-on Data Engineer with strong experience in building scalable data pipelines and analytics solutions on Databricks. You will design, implement, and maintain end-to-end data flows ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals ...

Poor-quality test data leads to poor production applications, compliance risks, and inefficiencies that will be costing the organization time, money, and very soon its competitive edge. As AI ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online practice easy and accessible. For structured learning, Coursera and the ‘Think ...