Examples of using Recognizing patterns in English and their translations into German
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Recognizing patterns.
The human mind is good at recognizing patterns.
Big data is nothing more than recognizing patterns in the billions and billions of data points created every day worldwide.
Like a mathematical equation, it was just a matter of recognizing patterns and familiar shapes.
Recognizing patterns of pre-execution and post-execution behavior of certain types of malware can identify zeroday exploits that standard AV might miss.
Self-learning algorithms for recognizing patterns and objects.
Human beings have only a weak ability to process logic,but a very deep core capability of recognizing patterns.
Algorithms are much better at recognizing patterns in data as well as drawing logical conclusions from them.
This is due to the visual perception system of humans,which is very good at recognizing patterns.
The focus is on machine learning; that is, recognizing patterns and contexts and exploiting these insights.
SQL row pattern matching providespreviously unimaginable possibilities when it comes to recognizing patterns in time series.
It should be random: Hackers are excellent at recognizing patterns and programming their tools to look for them.
It can loosely apply to any system that imitates human learning anddecision-making processes in responding to input, analyzing data, recognizing patterns, or developing strategies.
The term data mining is used to describe methods and processes for recognizing patterns in large amounts of data in order to discover regularities, hidden correlations and interconnections that produce new insights.
In addition, there arepossibilities to process enormous amounts of structured and unstructured data, thereby recognizing patterns and producing correlations.
The typical features of this degree program include the development of skills for recognizing patterns and processes and for rapid familiarization with new topic areas.
His research is based on machine learning,in which artificial intelligence learns by itself by recognizing patterns and then making predictions.
It learns from a wealth of data, for example by recognizing patterns and predicting values.
Artificial intelligence, as part of computer science, deals with modelling and automating tasks that normally needpeople and require what we call'intelligence' e.g., understanding language, recognizing patterns, or applying knowledge gained through experience in new situations.
When you do the kind of work I do, steeping yourself in conspiracy theories day in, day out,you get good at recognizing patterns, and sometimes the patterns are just coincidence, but sometimes... sometimes they're real.
It deals with finding the insights thathelp us understand what might happen in the future by recognizing patterns in historical data, repeated transactions etc.
These three decades of data on malware, combined with the latest AI technologies,give Avira Antivirus 2018 an enormous advantage in quickly recognizing patterns and anomalies within suspect files and the ability to continuously fine-tune its detection for future threats.
We have developed deep-learning algorithms that recognize patterns in ECG waveforms.
We recognize patterns to distinguish noise from signal, and especially our name.
People receive signals and recognize patterns with the help of their neural networks.
The answer is thevery strong ability humans have to recognize patterns.
Sophisticated algorithms can recognize patterns in unstructured data records such as images, texts, and speech, and use them to make decisions independently.
The more comprehensive the data records available,the more accurately the machine can recognize patterns in complex data and create relationships.
They are computer programs that use multiple layers of nodes(or"neurons")operating in parallel to learn things, recognize patterns, and make decisions in a human-like way.
To be able to make decisions in such an environment, we must quickly combine and network knowledge,experiment with it, and recognize patterns that help us to derive action.