TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

DTSA 5799 Unsupervised Text Classification for Marketing ... (e.g., unsupervised machine learning) Apply topic modeling to marketing data via a peer-graded project; Apply topic modeling to a variety ...

DataRobot’s end-to-end AutoML suite not only speeds up the creation of accurate models, but can combine time series, images, geographic information, tabular data, and text in a single model.

Machine Learning, a subset of artificial intelligence, involves the use of algorithms that enable computers to learn from and make predictions or decisions based on data. This field has applications ...

And in the process of getting there, I learned a great deal about the data cleansing and pre-processing that goes into any machine-learning project. Prepping the battlefield ...

Machine learning (ML) is being applied to multiple aspects of insurance practice. ... If there’s a quick estimate of total loss, there’s a different process flow that is much simpler.

Microsoft updated its machine learning dev tooling with ML.NET 2.0 and a new version of Model Builder. ML.NET is the company's open source, cross-platform machine learning framework for .NET ...