Key Takeaways Free YouTube content can teach foundational AI skills effectively.Channels like Sentdex and 3Blue1Brown ...

Key Takeaways Books help explain ML in depth, better than short tutorials.The right book depends on goals—coding, theory, or ...

Practity is transforming spreadsheet learning through real-world practice. Practity, the go-to destination for hands-on learning in Python and Excel, has announced the official launch of its newest ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

The integration of Machine Learning stands as a prominent solution to unravel the intricacies inherent to scientific data. While diverse machine learning algorithms find utility in various branches of ...

Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...

Abstract: Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

More information: Yunyu Xiao et al, Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States, Nature Mental Health (2025). DOI: 10.1038 ...