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 ...

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

This project involves building a machine learning model to predict house prices based on various factors such as location, square footage, and the number of bedrooms.

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 ...

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 ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of 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 ...

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 ...

For the highest chances of success in machine learning, test your model early with an MVP and invest the necessary time and money to diagnose and fix its weaknesses.