Examples of using Machine-learning in English and their translations into Hungarian
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Computer
These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation
Banks are rolling out machine-learning applications to handle all manner of tasks once reserved for humans,
The AI automatically analyzes case text via a machine-learning algorithm, and UCL's Nikolaos Aletras thinks the technique would be very helpful for finding patterns in cases that lead to certain decisions.
A machine-learning approach could help robots assemble cellphones
Rather, it used the latest machine-learning principles to teach itself chess by playing against itself.
So that's a million people who might be having some problems with their glucose if this machine-learning mumbo jumbo that he did in the FDA database actually holds up.
where machine-learning algorithms evaluate the data.
where machine-learning algorithms evaluate the data.
brain injury, machine-learning systems may learn that such diagnoses are always fatal.
personalized, machine-learning models we could programme our stimulator to deliver pulses only when memory was predicted to fail,
For the more elaborate 2018 attempt, Goldman Sachs' economists fed oodles of data about teams and individual players into four different types of machine-learning models to figure out the statistics' predictive power.
The machine-learning software has allegedly been in development for nearly a decade using deep learning algorithms to constantly learn
Tesla's machine-learning platform for automated energy trading.
Tesla's machine-learning platform for automated energy trading.
learning the concept as mapping those features” as in standard machine-learning algorithms, Lake explained,“instead I aim to build a simple causal model of the letter,” a shorter path to generalization.
Based on these inputs, a machine-learning based analysis is being conducted which results in a quality rating(between 1-5,
IDC estimates the machine-learning application market will reach $40 billion by 2020,
such as the Raspberry Pi and access to cloud-based machine-learning services mean embedded developers have straightforward access to the full gamut of machine-learning algorithms that have been discovered over the past few decades.
Fingers crossed Tesla and Google are feeding their machine-learning algorithms more data from people with varied skin tones than the academic models,
The recruitment process already uses machine-learning algorithms.