Machine unlearning helps AI models forget specific data they were trained on, addressing a growing need for privacy, legal ...

Key Takeaways Free YouTube content can teach foundational AI skills effectively.Channels like Sentdex and 3Blue1Brown emphasize applied and visual learning.Opti ...

Reading feels like learning. But unless you can recreate the idea from scratch, you might just be fooling yourself. Here's ...

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 ...

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 ...