Remove 2005 Remove Machine Learning Remove Modeling Remove Statistics
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ChatGPT, Author of The Quixote

O'Reilly on Data

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 274
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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core. Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. Now, how do we stay ahead in this AI landscape?

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Data Science, Past & Future

Domino Data Lab

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. He was saying this doesn’t belong just in statistics. Tukey did this paper.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. After five minutes of seeing these products back then, I just knew they would change everything! Answer: Better than every other vendor?

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111
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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. Throughout, we’ll refer to our model-derived measurement of inter-rater reliability as the Intraclass Correlation Coefficient (ICC).

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Rethinking ‘Big Data’ — and the rift between business and data ops

CIO Business Intelligence

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. But many execs suffer from “data defeatism,” erroneously thinking that data value is dependent on having degrees in math, statistics, or machine learning.

Big Data 131