Examples of using Machine learning algorithms in English and their translations into Ukrainian
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Machine learning algorithms have the same problem.
It also offers numerous packages that make implementing machine learning algorithms easy.
Machine learning algorithms can help to this end.
So in this course I'm mean as a standard example for explaining a lot of the machine learning algorithms.
Modern machine learning algorithms can help.
In financial services thereare thousands of transactions regularly examined by machine learning algorithms.
Machine learning algorithms for data mining tasks.
Software integration-software functions can be expanded significantly by adding machine learning algorithms.
Machine learning algorithms are usually scored by their accuracy.
In financial services, vast real-time logs of thousands oftransactions per second are routinely parsed by machine learning algorithms.
Machine learning Algorithms is usually evaluated according to their accuracy.
A new partnership between Rolls-Royce and Google will see ships become smarter andself-learning thanks to advanced machine learning algorithms.
They apply machine learning algorithms in order to effectively provide these predictions.
But it is quite realistic to predict the likelihood of a certain event, using machine learning algorithms and historical data produced by the system.
Using machine learning algorithms, we clear and structure information.
It turns out these are not only useful for traditional graphics processing, but also for machine learning algorithms and virtual/augmented reality devices.
Machine learning algorithms train a model based on a finite set of training data.
Brain-computer interfaces will also help to fill the gaps in the machine learning algorithms at the expense of people, for example, when making contextual decisions.
Machine learning Algorithms learn to read the world through a somewhat similar process.
It has more than 2500 optimized algorithms, containing a ccomprehensive set of classic and state-of-the-art computer vision and machine learning algorithms.
One of the most common machine learning algorithms used here is neural networks.
Using machine learning algorithms will allow you to decrease your business expenses significantly.
The neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs.
Besides, due to machine learning algorithms, Quints can predict such aspects as potential player LTV and churn probability.
Photos for a slide showselected the proprietary technology automatically detects, machine learning algorithms for finding users, travelers and the place where the published photos were taken.
Therefore, using machine learning algorithms, companies can reduce the time needed to detect an attack to one hour or several minutes.
We utilize a range of techniques like pop-unders, machine learning algorithms, as well as programmatic media buying from a large database of advertising networks.
Finally, using machine learning algorithms that have already trained in your language, the machines in the cloud make sense of what you said.
Using machine learning algorithms, the model completes behavioral segmentation of clients and creates personalized offers based on the collected data.
Using machine learning algorithms, the team can then translate these measurements into blood pressure readings, readings they say are accurate about 95 percent of the time.