This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...

IITs and IIMs have taken up the task of narrowing the digital divide in the country. Today, anyone with a smartphone -- even in Tier 2 and 3 cities can access AI learning and tools, thanks to these ...

NHPC focuses on empowering communities through a range of CSR interventions. These interventions support inclusive growth, uplift marginalised sections of society, and contribute to the nation’s ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

This content was written and submitted by the supplier. It has only been modified to comply with this publication’s space and style. BW Converting announces that a digital innovation initiative ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry. Flying high Antoni Shtipliyski is an engineering manager at Skyscanner, where ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...