The phrase "algorithmic learning" is correct and usable in written English.
It can be used in contexts related to machine learning, artificial intelligence, or educational methodologies that involve algorithms for learning processes.
Example: "The course will cover various techniques in algorithmic learning, focusing on how algorithms can enhance educational outcomes."
Alternatives: "machine learning" or "algorithm-based learning".
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory.
Even with the time saved by algorithmic learning, the model still requires hands-on time from the shoppers, a potentially limiting factor.
Algorithmic learning theory, clustering, self-organizing maps and all that other neat sounding stuff –could- potentially be very useful in specific areas of security, under the right circumstances.
This algorithmic learning curve does mean newcomers to SwiftKey will need to be a bit patient before they see the real benefits.
However, it is a highly intertwined process that might include verbal and syntactic processing, special representation storage and retrieval in short- and long-term memory, algorithmic learning, and its most complex element - conceptual understanding (Goldin, 1992).
For those among us who use Android, Google Now is the type of anticipatory computing, powered by data and algorithmic learning, that enables a machine to guide us in life almost like an assistant would.
Facebook built two versions of a fix for clickbait this year, and decided to trust algorithmic machine learning detection instead of only user behavior, a Facebook spokesperson tells TechCrunch.
To make sure that you as an individual continue to have a meaningful agency in the emerging algorithmic reality, we need learning algorithms that are on your side and solutions that augment and extend your abilities.
The goal is to develop an efficient prediction model, combined with the machine learning algorithmic characteristics, which can predict whether a chemical compound is toxic and can affect the health adversely or not.
Judicata's mission involves what it calls "mapping the legal genome," which is a fancy way of saying it hopes to combine algorithmic, machine learning approaches to ingesting the mass of legal data and turning out something useful with careful human review to guarantee the accuracy of results.
John Brockman, in a brief essay on Edge, calls these geeks who went on to do something else the algorithmic culture, dedicated to learning something about the world by understanding the actual code behind the internet.
