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Mine, Mine, All Mine

John Battelle's Searchblog

Author’s musical preferences not included… No Longer Mine When I write, I like to listen to music. Since the pandemic I’ve fallen into the habit of reading paper books at night, and listening to books while walking. In short, everything could be minedmined for insights, for value, for untold usefulness.

Mining 52
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Finding Positive Opportunity in Social Distancing

AIIM

It's no secret that I'm passionate about training and information management. I delivered the first AIIM public training course in the U.S. Since then, I've delivered more than 400 workshops, seminars, breakout sessions, and training courses relating to information management – almost all in person. in January 2006.

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Adversarial ML Attack that Secretly Gives a Language Model a Point of View

Schneier on Security

Here’s the latest: a training-time attack that forces the model to exhibit a point of view: Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures.” Systems like GPT-3 will make it easy for those AIs to mine previous conversations and related Internet content and to appear knowledgeable.

Mining 94
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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

Mining 107
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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. The goal is to better train the model for better performance and a more accurate outcome.

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Archive-It Partner News, October 2023

Archive-It

Wrapping up Legal Literacies for Text and Data Mining – Cross-Border (LLTDM-X) As this project has ended, Thomas Padilla (Deputy Director, Archiving and Data Services at the Internet Archive) details the resulting publication of an instructive case study for researchers and a white paper in this blog post.

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Attacks against machine learning — an overview

Elie

which involve feeding training adversarial data to the classifier. The most common attack type we observe is model skewing, where the attacker attempts to pollute training data in such a way that the boundary between what the classifier categorizes as good data, and what the classifier categorizes as bad, shifts in his favor.

Mining 91