Yes, there’s the option of building your own specific models using Azure’s Machine Learning studio, working with tools like PyTorch and TensorFlow to design and train models from scratch.

While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends.

CNET: The latest product announcements from Google I/O 2018 "ML Kit is our way to bring a lot of Google's machine learning technologies that we've developed over many years into a single, easy-to ...

A variety of tools are available for building machine learning models. R and Scikit-learn both offer a wide variety of machine learning models. Vowpal Wabbit is an open source command line program for ...

Build ML models on your PC. A modern developer workstation has more than enough power for basic ML workloads. The machine I’m typing this on fits the bill: It has an 11th-generation Intel ...

As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting ...

Now its adding the Digital Ink Recognition API into the same mix. Digital Ink Recognition. The aim is for the Digital Ink Recognition API to enable recognising handwritten text on a digital surface in ...