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

Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...

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 ...

Key Takeaways YouTube offers a variety of high-quality Python tutorials for all skill levels.Some channels specialize in ...

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 ...

data-driven functions enabled by the integration of machine learning (ML) notions across the wireless core and edge infrastructure. In this context, this paper provides a comprehensive tutorial that ...

In this review, we will be examining specifically machine learning methods that have been developed for EEG analysis with bioengineering applications. We reviewed literature from 1988 to 2018 to ...

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 ...