article thumbnail

ChatGPT, Author of The Quixote

O'Reilly on Data

But perhaps it should infringe something: even when the collection of data is legal (which, statistically, it won’t entirely be for any web-scale corpus), it doesn’t mean it’s legitimate, and it definitely doesn’t mean there was informed consent. To see this, let’s consider another example, that of MegaFace. joined Flickr. joined Flickr.

Modeling 275
article thumbnail

What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. One of the best solutions for data protection is advanced automated penetration testing. The instances of data breaches in the United States are rather interesting.

Testing 125
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Domino Data Lab

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111
article thumbnail

Using random effects models in prediction problems

The Unofficial Google Data Science Blog

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). ICML, (2005). [3] 3] Bradley Efron. Cambridge University Press, (2012). [4]

article thumbnail

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. While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics.