Examples of using Machine-learning in English and their translations into Romanian
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What if they replaced their hiring process with a machine-learning algorithm?
But they can provide a huge machine-learning boost to an individual, small scale food grower.
Each CopyPortfolio aggregates various assets ora group of traders and is constantly optimised by machine-learning algorithms.
Most CopyPortfolios are driven by powerful machine-learning engines which aim to generate a maximum return at any given time.
When malware targets a user's device, we use 6 layers of deep protection,powered by our unique cloud-based analytics and machine-learning techniques, to keep them safe.
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Oracle Management Cloud comes prebuilt with powerful machine-learning algorithms to give customers smarter insights with zero effort on their part.
In addition to the standard toolkit of economics and econometrics, the program takes a path-breaking perspective on advanced analytics,including big data, machine-learning network analysis, and agent-based simulation.
Integrated, machine-learning algorithms enable the development of applications that perform real-time predictions such as personalized shopping and fraud detection.
And I have got a single camera here that's watching my face and feeding some machine-learning software that's taking my expressions, like,"Hm, hm, hm," and transferring it to that guy.
Based on these inputs, a machine-learning based analysis is being conducted which results in a quality rating(between 1-5, displayed by using 1-5 yellow tiles next to the name of the property) being automatically calculated and awarded to the accommodation.
Our award-winning scanning engine protects against viruses, spyware, andother malicious agents, now with a new algorithm that is based on machine-learning, which can process new-virus data in milliseconds rather than hours.
Spamnix also uses Bayesian filtering,a statistical machine-learning technique that analyzes the words in sample training spam and non-spam messages and uses that information to identify which category new messages belong in.
Some of these changes include penalizing toomany irrelevant internal links, interpreting conversational queries as an entire thought instead of individual keywords, and using machine-learning to serve up more accurate interpretations of specific terms.
Day and night, across the globe,our immense cloud-based machine-learning engine is evolving and learning, making our solutions smarter, faster, and more powerful than ever.
To protect your business against WannaCry and other similar ransomware waves, all of Bitdefender's endpoint security solutions are able to prevent theinfection of our customers, thanks to their effective machine-learning based detection.
Official'Product of the Year',this Bitdefender Total Security 2016 uses machine-learning technologies to remove and block all cyber-threats, without impacting your device's performance.
In particular, machine-learning based tools, including behavior-based and heuristic detection algorithms, have made it possible for these programs to identify and protect against threats that haven't even been formally identified yet(so-called“zero-day” attacks).
His main focus is the development of investment strategies based on quantitative analysis,using econometric and machine-learning techniques, of monetary and fiscal developments, foreign exchanges and government bonds.
Our next-generation machine-learning and memory introspection technologies ensure that our customers have always been safe from WannaCry, the world's most aggressive piece of ransomware, AND will be similarly protected from the next such attack.
The platform consists of tools for every step in the modern machine learning lifecycle- from developing machine-learning models to building intelligent applications to integrating machine learning outputs into business intelligence and visualization tools- so it's accessible by business teams.
So you keep hearing about machine learning and there was a revolution of machine learning recently,in deep learning, and that allowed us to build machine-learning models that can understand wireless signals and interpret them so they would know what happened in the environment.