Mining Retail Training 
Elie
MAY 30, 2018
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.
The Last Watchdog
FEBRUARY 6, 2019
And their grander vision is to help establish a nationwide biometric database in which a hybrid facial ID/fingerprint can be used for things such as fraud-proofing retail transactions, or, say, taking a self-driving vehicle for a spin. The ultimate concern with this technology is that we’ll end up in a surveillance society where your I.D.
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Elie
MAY 30, 2018
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.
John Battelle's Searchblog
APRIL 30, 2010
* It's been a longstanding thesis of mine that Google's ability to reorder information in microseconds, based on our declared intent through a search query, has habituated us to expect an immediate and relevant response from nearly every website - and in particular, commercial sites. You came in for your own retail therapy, after all.
John Battelle's Searchblog
MARCH 12, 2014
In the digital world, we’ve been trained to see “Preferences” as synonymous with “Dealing With S**t I Don’t Want To Deal With.” Imagine further if I could mash it up with other data entities – be they friends of mine, bands I like, or even brands? But truth is, Preferences are no fun.
IBM Big Data Hub
SEPTEMBER 19, 2023
Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications. Watsonx comprises of three powerful components: the watsonx.ai
MIKE 2.0
OCTOBER 28, 2017
If the thing a business does well, such as issue credit cards, sell books or make trains is challenged by a new technology then it can bring the whole enterprise down. Medical, mining and energy businesses are among those that should be on the lookout for more immediate applications and perhaps partner on research efforts.
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