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 ...

Based on the application, the ML ... this brief post will help you better assess your machine learning project and avoid mistakes. Read Lones’s full paper, titled, “How to avoid machine ...

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 ...

As such, we’re all too familiar with the types of mistakes that are typically made during machine learning projects – and not only by beginners. It is essential for businesses to learn what not to do ...

Autodesk has added an A.I.-based assistant to its BIM 360 software to identify risks and safety issues in large, sprawling projects. Autodesk Opens Up Machine-Learning Advisor Tool to User Base ...

Jupyter Lab, the latest web-based interface for Project Jupyter, the de facto standard of interactive environments for running ML experiments, is preinstalled in the VMs for easy access to Notebooks.

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

The flexibility, agility and ultimate cost of machine learning projects can be significantly impacted by data logistics and dependencies, according to Jim Scott, VP, Enterprise Architecture, at MapR.

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires ...

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine ...