DataRobot Blog

FEBRUARY 2, 2023

Learn how you can easily deploy a pre-trained foundation model using the DataRobot MLOps capabilities, then put the model into production. These models are trained on massive amounts of text data using deep learning algorithms. Then you can use the model to perform tasks such as text generation, classification, and translation.

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. But although the terms and many of the practices sound familiar, the tools, use cases, and even some of the techniques have changed.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 22, 2019

While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry. She ) has the same meaning as when it’s used later in a sentence ( She ). Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111