A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

But as machine learning models grow in number and size, they will require more training data. The AI Impact Series Returns to San Francisco - August 5 The next phase of AI is here - are you ready?

Organizations create and deploy machine learning applications as Software-as-a-Service or use them for streamlining internal processes such as data entry operations, sales and marketing.

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

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 ...

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World Health Organization. Antibiotics are critical for human health, but many ...

It’s one of the very early challenges in adopting ML in your business. Modernization of legacy apps is one of the best approaches to starting any machine learning project. This will encourage ...

Delivered as part of Microsoft’s Autonomous Systems suite, Project Bonsai is a tool for building and training machine learning models, using a simulator with human input to allow experts to ...

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… ...