The data-driven revolution is prefaced upon the idea that data and algorithms can lead companies away from biased human judgement towards pristine mathematical perfection that captures the world ...

The facts are data, and the useful information is knowledge for people, instructions for machines or input for yet another algorithm. There are many common examples of algorithms, from sorting ...

By Peter Sondergaard Gartner, Inc. Big data is the oil of the 21st century. But for all of its value, data is inherently dumb. It doesn’t actually do anything unless you know how to use it. Oil ...

In the case of an image classification algorithm, an attacker could introduce rogue examples that prompt the wrong response, so that cats with collars a certain shade of red are classified as dogs ...

“The Algorithm” is impenetrable. It’s mysterious, it’s all-knowing, it’s omnipotent. Except that it’s not. An algorithm is a simple concept that, today, has many complex manifestations.

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

Model / A mathematical representation of a task, created by applying a machine learning algorithm to a training data set. For example, a large language model like GPT-3.5 (which powered the original ...

Streaming algorithms are helpful in any situation where you’re monitoring a database that’s being updated continuously. This could be AT&T keeping tabs on data packets or Google charting the ...

Without data, and without publishing the algorithm, it’s extremely difficult to understand how it is making a decision. ... and the examples you’ve cited fit well into that framework.” ...