Applications; Big Data and Analytics; IT Management; Why Machine Learning Projects Fail – and How to Make Sure They Don’t. The first step to a successful ML project is to understand that these ...

A well-made AI portfolio with real projects helps showcase job-ready skills beyond just a resume.Clean code, short write-ups, and clear visuals m ...

Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should chec… ...

This workshop is a realistic and pragmatic discussion on how to approach your next AI-based project, to properly roadmap your implementation and to plan required resources. Concretely, this workshop ...

Although one can create basic Machine Learning projects with an integrated GPU, once you start dealing with neural engines and rendering images, you need a good GPU.

To start, let’s look at how machine learning can help identify portfolio risks. Simply put, machine learning helps investors to identify and control unnamed risk factors in their portfolio.

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 ...

But both are intended to make MXNet useful to developers working to bring machine learning intelligence to user-facing products: Support for MXNet models on Apple devices via the Core ML model format.