Приклади вживання The machine learning Англійська мовою та їх переклад на Українською
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It also helps explainwhy these companies are so interested in the machine learning and AI markets.
This is where the machine learning becomes essential.
Violators may understand how to create pass data,if you get a copy of the machine learning algorithm, which want to cheat.
That's why we created the Machine Learning Workshop with Dmitry Guzenko and Veronica Tamayo Flores.
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Regardless, the car breaks down or is compromised,it will hurt the machine learning algorithms that"see" the world.
Finally, for more about the machine learning approaches in Blumenstock, Cadamuro, and On(2015), see James et al.
Troublemakers can figure out how tocreate adversarial data if they have a copy of the machine learning algorithm they want to fool.
Developers are hard at work on the machine learning necessary for safer and more-autonomous vehicles.
The machine learning system has reached the point where it can separate the 20 percentage of inappropriate accounts in the registration phase.
According to the developers, the system based on the machine learning technology is able to identify 85% of attacks.
The Machine Learning Revolution is going to be very different from the Industrial Revolution, because the Machine Learning Revolution, it never settles down.
In the larger suite of Dawn benchmarks, the machine learning and training benchmarks are generally dominated by Nvidia or Google.
Create your own examples of attacks in the laboratory, based on the capabilities of criminals in your opinion,then show them the machine learning algorithm.
So to understand this, let's look at one of those classes, the Machine Learning class offered by my colleague and cofounder Andrew Ng.
Initially the machine learning engine will be used to further train existing AI algorithms designed to power the image recognition systems of vessels.
But I said,"It's still not publishable,because I love what you did with the mumbo jumbo, with the machine learning, but it's not really standard-of-proof evidence that we have.".
The machine learning master's program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution.
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.
Leo Breiman distinguished two statistical modelling paradigms: data model and algorithmic model,wherein"algorithmic model" means more or less the machine learning algorithms like Random forest.
Using the machine learning system will adapt to the behavior pattern and the rhythm of life of each user and will show alerts only at the right time and in a suitable device.
The machine learning approach, is to say, instead of writing each program by hand for each specific task, for particular task, we collect a lot of examples, and specify the correct output for given input.
It serves as a comprehensive repository of databases, domain theories,and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
The machine learning algorithms that Rolls-Royce will initially put to work on their ships will be the same neural-net based software which currently fuels Google's voice and image search applications.
On interesting aspect of Artificial Neural Networks is that many of these systems also learn, thereby incorporating some of the advantages of the machine learning strategy to solving the Common Sense Knowledge Problem.
Also, the machine learning models in these projects can be solicited with open calls, whereby researchers compete to create machine learning models with the greatest predictive performance.
Experiments from specialists at the University of North Carolina showed that the machine learning method with reinforcements allows you to do this much faster- within 10 minutes after fully automatic tuning, a person can walk smoothly.
It is interesting to note that one of the projects, which caused the greatest interest among students,was the development of intelligent chatbots in the banking sector based on the machine learning technology and modern development technologies of neural networks.
It's something that's a growing concern in the machine learning and AI community, especially because these algorithms are being used more and more,” says Daniel Lowd, assistant professor of computer and information science at the University of Oregon.