Examples of using Machine learning techniques in English and their translations into Greek
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Financial
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Computer
There are various machine learning techniques used in this task.
Researchers who want to analyze scientific databases with contemporary machine learning techniques.
Various machine learning techniques are employed for such purpose.
Additionally, the group is interested in the exploitation of machine learning techniques in robotic applications.
New machine learning techniques could pave the way for larger, more timely projects.
Prosody has been modelled using machine learning techniques on natural speech.
Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.
If your project requires in-depth orreal-time analytics, the chances are that machine learning techniques will be necessary to achieve project success.
The Office Graph uses machine learning techniques to connect people to the relevant content, conversations and people around them.
ESET solutions were also shown to provide businesses with robust security,combining reputation-based malware protection with advanced detection supported by machine learning techniques.
Recently, the researchers have developed machine learning techniques that have the potential to outperform conventional statistical approaches.
Commercial artificial intelligence platforms have moved from testing to real applications in health and environment;all major car manufacturers are developing self-driving cars, and machine learning techniques are at the heart of all main web platforms and big data applications.
Machine learning techniques and, in particular, deep learning based on complex neural networks, generally require massive amounts of data to produce an accurate model.
According to MIT Technology Review in recent years researchers have developed machine learning techniques that have the potential to outperform conventional approaches.
The researchers used machine learning techniques that teach the computer how to classify the images by showing the computer datasets of images already classified by humans.
In this instructor-led, live training,participants will learn how to apply machine learning techniques and tools for solving real-world problems in the finance industry.
Using brain imaging and machine learning techniques, the researchers identified a neural signature of negative emotion, a single neural activation pattern distributed across the entire brain that accurately predicts how negative a person will feel after viewing unpleasant images.
It has developed systems and expertise to gather data,analyze them through Machine Learning techniques and produce accurate and tangible results for the end-user and the higher management.
Today's most promising machine learning techniques use neural networks, which were first invented in 1940s by Warren McCulloch and Walter Pitts, whose idea was to develop a calculus for neurons that could, like Boolean logic, be used to construct computer circuits.
Amnesty International andElement AI then used advanced data science and machine learning techniques to extrapolate data about the scale of abuse that women face on Twitter.
The iPhone's image signal processor uses machine learning techniques to recognize people with one camera, while the second camera creates a depth map to help isolate the subject and blur the background.
Local, instructor-led live Machine Learning(ML)training courses demonstrate through hands-on practice how to apply machine learning techniques and tools for solving real-world problems in various industries.
During his undergraduate studies, he focused on Machine Learning techniques and completed his thesis on“Clustering& Optimization in Continuous Language Models” under the supervision of Professor Vasilis Digalakis.
Back To Top StrategyQuant StrategyQuant is a powerful strategy development platform that uses machine learning techniques and genetic programming to generate new automated trading systems for any market or timeframe.
Increasingly sophisticated algorithms and machine learning techniques parse reams of data on a particular issue and generate insights, predictions and diagnoses with more efficiency than teams of humans ever could.
In machine learning, genetic algorithms found some uses in the 1980s and 1990s.[26][27]Vice versa, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[28].
Using a combination of automatic text analysis and advanced machine learning techniques, the tool developed by experts in Madrid and Cardiff has been able to successfully identify false robbery reports with over 80 per cent accuracy.
And thanks to the terabytes of images available in health records and sophisticated machine learning techniques known as“deep learning,” computers can now identify certain eye diseases from retinal scans as accurately as doctors.
We already use artificial intelligence and machine learning techniques in parts of the LHC, but imagine designing a particle physics experiment using such sophisticated algorithms that it could teach itself to discover a hyperdimensional graviton.
Science is an interdisciplinary area that resulted from the combination of a significant developments in numerical analysis,algorithms and machine learning techniques based on statistical principles and(b) the rapid developments in the area of management and processing of heterogeneous, continuously changed large volume of data(Big Data).