While most focus on issues of model building and infrastructure scaling, Vollet also looks at the user view, or frameworks for building user interfaces for applications utilizing machine learning.

Usage analysis from machine learning practitioners building real models with ModelTracker over six months shows ModelTracker is used often and throughout model building. A controlled experiment ...

For instance, machine-learning developers might focus on having features that are compatible with the model and predictive, meaning they are expected to improve the model's performance.

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.

Azure Machine Learning also has built-in controls that enable developers to track and automate their entire process of building, training and deploying a model. This capability, known to many as ...

The app automatically selects and begins training a machine learning model. Photo by Mike Matas, Microsoft. Early customers include The Nature Conservancy, which is using the Lobe app as part of a ...

Pitfall 1: Sampling bias. The starting point of any machine learning program is to select the training data. Typically, organizations have some data available or can identify relevant external ...