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 ...

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.

Machine learning models are mathematical representations of real-world processes that are used to make predictions, and are created by providing training data for an algorithm to learn from.

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 ...

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 ...