Key Takeaways Strong Python basics are essential for writing clean and efficient code.Knowing key libraries and tools boosts development speed and teamwork.Real ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

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 ...

Discover how to prepare for a career in data science with key skills, trends, and strategies tailored for 2025 and beyond.

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 ...

Introduction to an EEG time-series machine learning project using Python, from setting up the environment to the first steps. Hillary Clinton breaks silence on Trump’s controversial $400m Qatari ...