It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can ...

Tweaking machine learning algorithms and models won't always be for experts only, thanks to these cutting-edge projects Topics Spotlight: New Thinking about Cloud Computing ...

I don’t expect a book on machine learning to extensively cover deep learning, but in Hands-on Machine Learning, Geron has managed to pack a lot in 400 pages.You start with a great history of ...

With AI quickly becoming strategic, look for projects that can give you some quick business wins and help you gain the skills to apply machine learning more broadly. Machine learning is fast ...

Machine Learning is Different. To increase the chances of machine learning project success, the first step is to understand that these projects are not the same as typical application and software ...

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

This article looks at 13 open source projects that are remaking the world of AI and machine learning. Some are elaborate software packages that support new algorithms. Others are more subtly ...

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine ...

Using a mix of PyTorch, a framework co-created by Facebook, and machine-learning platform Allegro Trains, med-tech company theator is now providing surgeons with a tool that lets them watch over ...

Writing an all-encompassing book on Python machine learning is difficult, given how expansive the field is. But reviewing one is not an easy feat either, especially when it’s a highly acclaimed ...