Examples of using Machine-learning in English and their translations into Portuguese
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Transparency of machine-learning algorithms is a double-edged sword.
There is no need for a data scientist to build a complex machine-learning model.
Google's machine-learning algorithm has come a long way since the early days of SEO.
We used what's called an ensemble machine-learning method to do this.".
Improve your machine-learning capabilities and add the human element at the right time.
People also translate
Such models and techniques originate from statistics,econometrics, machine-learning or computer science.
And now, RankBrain and machine-learning tools are handling every single search query.
Today, 98 percent of the videos we remove for violent extremism are flagged by our machine-learning algorithms.
Press discussed how they use machine-learning models to trigger frictions targeted at blocking fraudsters.
However, we must be prepared for our adversaries upping their game based on a better understanding of how our machine-learning models work.
Machine-learning models are now being increasingly used to automate decision-making processes.
Undoubtedly, it's important to improve our machine-learning models and make them more sophisticated and thus harder to bypass.
In machine-learning terms, object detection from still images requires solving two problems at the same time.
And in 2015, they released even more news about RankBrain,the new AI and machine-learning technology that would filter our search results.
Cloud-based machine-learning systems are designed to be a lot easier to use than the underlying algorithms.
Currently, Gaurao is working on the Jetson controller from NVIDIA for image processing and machine-learning projects using an Intel® RealSenseTM camera.
The advent of tools for uncloaking machine-learning models clearly shows how fragile the protections can be that rely purely on these models.
One agent, simplified workflows, andthe only way to get the latest McAfee defenses such machine-learning analysis and integrated incident response.
For example, machine-learning algorithms look for patterns in how cloud data is accessed and report anomalies that can predict security breaches.
Consider AlexNet*, a neural network that does sophisticated image recognition,which exposes machine-learning algorithms to millions of images to recognize patterns.
In this context, the use of machine-learning algorithms, focused on the development of data based models, turns out to be extremely promising.
The new version of AlphaZero trained itself to play chess starting just from the rules of the game,using machine-learning techniques to continually update its neural networks.
Timbeter uses artificial intelligence and machine-learning technology, which identifies the logs and eliminates duplicates, adjusting the piles as a whole.
The company's experts and experienced partners help organizations make the best decisions on a wide range of machine-learning technology and implementation needs.
In other words: Big Data. Therefore, applying machine-learning techniques together with predictive analysis is of great help to the moderator.
Machine-learning approaches to Natural Language Understanding work well for large or better yet unrestricted domains, but if the domain is restricted, like in our case to hotel service, a rules-based approach is most effective.
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.
This is because AI or machine-learning would allow for an accurate measure of patient functioning and diagnosis from the beginning up to the end of the therapeutic process.
Intel TDT is built into the underlying silicon anduses a combination of CPU data, machine-learning algorithms, and Intel integrated graphics for security workloads.
For us, malware hunters,having machine-learning models accurate and effective is paramount- while transparency of our machine-learning models is the very last thing we need.