Dataiku

APRIL 10, 2020

The last couple of years have been anything but boring in the field of natural language processing , or NLP. With landmark breakthroughs in NLP architecture such as the attention mechanisms , a new generation of NLP models — the so-called Transformers — has been born (no, not the Michael Bay kind).

Modeling 119

Modeling 119

Cloudera

JANUARY 7, 2021

Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. We’re talking about text embeddings, of course.

Machine Learning 104

Machine Learning Deep Learning IT 104

Insight

MARCH 12, 2020

With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. In 2013, Robert Galbraith?—?an an aspiring author?—?finished

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Modeling Metadata Publishing Sales 59

IBM Big Data Hub

AUGUST 1, 2023

But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Modeling Cost-Benefit Data Lake Machine Learning 61

Domino Data Lab

MARCH 6, 2019

For starters, a huge snow and ice storm forced us to cancel the original event. But despite the snow cancellation and the following rescheduling nightmares (PM me if you want to hear more about our graceful recovery from the missing lunches), we filled up the concert hall at UMBC’s brand new Performing Arts and Humanities Building.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

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. Utilizing NLP helps researchers and data scientists complete core tasks faster.

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Deep Learning Modeling Metrics Testing 111

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. doc = nlp(text)??

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110