BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

A brisk theatrical thriller, “Data” perfectly captures the slick, grandiose language with which tech titans justify their potentially totalitarian projects.

From data science and artificial intelligence to machine learning, robotics, virtual and augmented reality, and UX strategy, IITs equip learners with industry-ready skills and bypass the traditional ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

The world’s most popular programming language is losing market share to more specialized languages such as R and Perl, Tiobe ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Data scientists get things done in notebooks, but production-quality work needs more than ad-hoc scripts. Just Enough Python for Data Scientists gives you the essential Python and software engineering ...

Python’s packaging ecosystem is under growing strain as development teams move away from pip in production environments, citing performance bottlenecks, fragile dependency resolution and rising ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...