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 ...

Machine learning projects aren’t cheap, so it’s not uncommon for organizations to have overly ambitious goals for them. There are often expectations that a project will completely transform ...

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 ...

As machine learning and data analytics experts, we have considerable experience in developing and implementing machine learning projects with businesses across different industries, including ...

In this scenario, your goal is to develop an internally facing machine learning model that provides a significant improvement over an existing business process. Let’s set your investment ...

Mention machine learning, and many common frameworks pop into mind, from “old” stalwarts like Scikit-learn to juggernauts like Google’s TensorFlow. But the field is large and diverse, and ...

The second key to a successful machine learning (ML) project is an ability to process collected data. The introduction of general-purpose GPUs in 2006 and their continued evolution has unlocked ...

Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate change, pandemics, and child abuse.

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 ...

Half (48%) of developers believe machine learning projects are too time-consuming, according to new research from Civo. The study of more than 500 developers revealed that one-quarter (24%) spend ...