Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Machine learning may help manage and organize enterprise systems -- with their "highly complex interactions between systems and components, complex data access patterns and relationships." ...

A new study published in the journal Cell Systems on November 20, 2019, reports the use of machine learning to help form complex cell architectures from pluripotent stem cells, a sophisticated ...

The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle. By the end of this machine learning book, ...

Quantity and quality of data are not enough to take full advantage of machine learning. The structures built around data -- and the way data is structured -- influence the value you can derive ...

In this repository there are a number of tutorials in Jupyter notebooks that have step-by-step instructions on (1) how to train a machine learning model using Python; (2) how to deploy a trained ...

As enterprise networking vendors incorporate machine learning, they are adopting similar architectures, reinforcing a change in the way we view the network. Topics Spotlight: AI in Enterprise ...

This GitHub repository contains the implementation of a project that aims to locate damaged areas after an earthquake using satellite images, a Building Damage Assessment Machine Learning Model, ...

Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices ... Detecting seizures on time could potentially prevent the negative effects on the neurocognitive ...