Examples of using Machine learning techniques in English and their translations into Vietnamese
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With adaptive security and most advanced machine learning techniques.
In broader terms, machine learning techniques could be used in all kinds of classification problems.
Helio P90 enables smartphone developers to easily apply machine learning techniques to apps.
This is accomplished by using machine learning techniques that detect a pattern in the data and make predictions.
Copty and his colleagues decided to address this problem using machine learning techniques.
The Office Graph uses machine learning techniques to connect people to the relevant content, conversations and people around them.
I took a video tutorial on Pandas andScikit Learn that covered multiple machine learning techniques.
The Office Graph uses sophisticated machine learning techniques to connect you to the relevant documents, conversations, and people around you.
The following graphic compares six years ofinterest in data science, AI, and machine learning techniques.
Modern machine learning techniques now allow us to do the same for tasks where describing the precise rules is much harder.
Finally, the last post will talk about howcomputer scientists can evaluate the quality of a Machine Learning techniques.
This feature uses a combination of computer vision and machine learning techniques to recognize objects seen by Echo Show.
WEKA Machine Learning Suite in an open-sourcelist of algorithms that are used for developing machine learning techniques.
The"Botometer" uses machine learning techniques to determine whether an account is operated by a human or by a software algorithm.
Researchers from Michigan State Universityhave also published a paper on using machine learning techniques to create new drug candidates.
Self-driving cars use machine learning techniques that train the computer to identify objects on the road and how to respond to them correctly.
Historically, cost and technology limited the implementation of personalized medicine, but machine learning techniques are helping to overcome these barriers.
Automated machine learning techniques offer the potential to change this and radically improve efficiency, and we look forward to further research that could validate its superiority to human analysis.
All suspicious content goes through areal-time behavioral malware analysis that uses machine learning techniques to evaluate the content for suspicious activity.
In this method, the system decides whether the prediction is correct or not by using the user response following each request, its context,by using machine learning techniques.
Our study reinforces the need for developing robust machine learning techniques that can provide assistance in real time for assessing the veracity of rumours.
To practice data science, you need to know mathematics and statistics,programming knowledge to work with data and implement machine learning techniques, and an area of subject-matter expertise.
The world of automated surveillance is booming, with new machine learning techniques giving CCTV cameras the ability to spot troubling behavior without human supervision.
In this blog post, we describe some of the technical challenges we face for video streaming at Netflix andhow statistical models and machine learning techniques can help overcome these challenges.
While traditional algorithms rely on rules defined by humans, machine learning techniques create their own rules by learning from data.
Additionally, PortSmash is highly portable and its prerequisites for execution are minimal, i.e., does not require knowledge of memory cache-lines,eviction sets, machine learning techniques, nor reverse engineering techniques.".
The team captured the recordings on Amazon Alexa,iPhone 5s and Samsung Galaxy S4 and used machine learning techniques to boost the dataset to 7,316 positive clips.
The team captured the recordings on three smart devices- Amazon Alexa, iPhone 5s and Samsung Galaxy S4-and used various machine learning techniques to boost the dataset to 7,316 positive clips.