Building user interfaces for machine learning applications What are the key criteria to be considered when choosing a framework to build a user interface for machine learning applications?

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 ...

The patent abstract indicates that this invention provides a machine learning-based project data quality verification method and system in the cross-technical field of artificial intelligence and ...

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.

After taking a measured, wait-and-see approach to machine learning, Arm is ready to jump into the fold full throttle. Today, the company is following up on its Project Trillium announcement from ...

Streamlit, a new machine learning startup from industry veterans who worked at GoogleX and Zoox, launched today with a $6 million seed investment and a flexible new open-source tool to make it ...

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.

Successful application of machine learning in the discovery of new polymers Date: July 19, 2019 Source: Tokyo Institute of Technology Summary: As a powerful example of how artificial intelligence ...